--- 格式版本: 2 标题: "Making private MCP servers reachable without making them public | OpenAI Developers" 原文链接: "https://developers.openai.com/blog/connect-private-mcp-servers-to-openai-products" 发布日期: "2026-08-16" 发布时间校准状态: "found" 发布时间需复核: "否" 发布时间来源: "rule:local:strict_original_body" 发布时间证据: "Published Time: Sun, 16 Aug 2026 16:11:32 GMT" 发布时间校准原因: "规则确认唯一严格发布时间，来源 local:strict_original_body" 发布时间校准置信度: "high" 发布时间候选数量: 4 发布时间严格候选数量: 1 发布时间原页读取状态: "source template page reused from URL open" 发布时间未找到原因: "" 发布时间校准时间: "2026-08-17T00:11:38+08:00" 发布时间仲裁状态: "skipped" 发布时间仲裁尝试次数: 0 发布时间仲裁耗时毫秒: 0 发现时间: "2026-08-16T23:54:06+08:00" 入库时间: "2026-08-16T16:11:38.781Z" 来源平台: "固定入口" 搜索渠道: "fixed_url" 搜索词: "https://developers.openai.com/blog" 匹配关键词: - "deployment" - "performance" - "latency" - "throughput" - "AI" 相关厂家: - "OpenAI" - "Microsoft" - "AWS" - "Google" - "Oracle" 相关专家: [] 内容类型: "网页" 抓取工具: "Jina Reader" 清洗工具: "Jina Reader Markdown + Defuddle/Readability 正文提取" 原始附件: [] AI优质: "否" AI打分: 15 AI分档: "非优质" AI质检状态: "不通过" AI打分理由: "资料为OpenAI开发者博客导航页，内容为MCP服务器连接配置，与超节点/AI Rack/机柜级AI基础设施等核心主题完全无关，无任何技术细节或商业信号。" AI质检模型: "ali-deepseek-v4-flash" AI质检时间: "2026-08-17T00:11:43+08:00" AI主题相关性: 0 AI来源权威性: 15 AI新颖性: 0 AI技术细节: 0 AI商业部署信号: 0 AI完整性: 0 AI摘要: "OpenAI 开发者博客介绍如何让私有 MCP 服务器在不公开暴露的情况下被 OpenAI 产品访问，核心方法是使用 Secure MCP Tunnel 等连接方案。" AI摘要模型: "ali-deepseek-v4-flash" AI摘要时间: "2026-09-07T03:27:30.232Z" 采集批次: "2026年8月16日20点37分10秒" 采集批次ID: "20260816-203710-016" 去重键: "https://developers.openai.com/blog/connect-private-mcp-servers-to-openai-products" --- Title: Making private MCP servers reachable without making them public | OpenAI Developers URL Source: https://developers.openai.com/blog/connect-private-mcp-servers-to-openai-products Published Time: Sun, 16 Aug 2026 16:11:32 GMT Markdown Content: For the complete documentation index, see [llms.txt](https://developers.openai.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to the page URL. [![Image 1: OpenAI Developers](https://developers.openai.com/OpenAI_Developers.svg)ChatGPT](https://developers.openai.com/) [Home](https://developers.openai.com/) [API](https://developers.openai.com/api/docs) [Codex](https://learn.chatgpt.com/docs) [Docs Guides, concepts, and product docs for Codex](https://learn.chatgpt.com/docs)[Use cases Example workflows and tasks teams can take on with ChatGPT or Codex](https://learn.chatgpt.com/use-cases) [Docs](https://developers.openai.com/codex) [Use cases](https://developers.openai.com/codex/use-cases) [Resources](https://developers.openai.com/codex/resources) [ChatGPT](https://developers.openai.com/chatgpt) [Plugins Extend ChatGPT and Codex](https://developers.openai.com/plugins)[Workspace Agents Trigger published ChatGPT workspace agents](https://developers.openai.com/workspace-agents)[Commerce Build commerce flows in ChatGPT](https://developers.openai.com/commerce)[Ads Publish and measure ads in ChatGPT](https://developers.openai.com/ads) [Resources](https://developers.openai.com/learn) [Showcase Demo apps to get inspired](https://developers.openai.com/showcase)[Blog Learnings and experiences from developers](https://developers.openai.com/blog)[Cookbook Notebook examples for building with OpenAI models](https://developers.openai.com/cookbook)[Learn Docs, videos, and demo apps for building with OpenAI](https://developers.openai.com/learn)[Community Programs, meetups, and support for builders](https://developers.openai.com/community) Start searching [API Dashboard](https://platform.openai.com/login) [Try ChatGPT](https://chatgpt.com/) ## Search developer resources Search docs ### Suggested responses create reasoning_effort realtime prompt caching Primary navigation API Codex ChatGPT Docs Use cases Resources Resources Search docs ### Suggested responses create reasoning_effort realtime prompt caching Overview Models Agents Tools Voice & Audio Production API reference Docs section Overview * [Home](https://developers.openai.com/api/docs) ### Get started * [Quickstart](https://developers.openai.com/api/docs/quickstart) * [Using GPT-5.6](https://developers.openai.com/api/docs/guides/latest-model) * [Key concepts](https://developers.openai.com/api/docs/concepts) ### Core concepts * [Responses API](https://developers.openai.com/api/docs/guides/migrate-to-responses) * [Conversation state](https://developers.openai.com/api/docs/guides/conversation-state) * [Background mode](https://developers.openai.com/api/docs/guides/background) * [Streaming](https://developers.openai.com/api/docs/guides/streaming-responses) * [WebSocket mode](https://developers.openai.com/api/docs/guides/websocket-mode) * [Multi-agent](https://developers.openai.com/api/docs/guides/responses-multi-agent) * [Webhooks](https://developers.openai.com/api/docs/guides/webhooks) * [File inputs](https://developers.openai.com/api/docs/guides/file-inputs) * [Compaction](https://developers.openai.com/api/docs/guides/compaction) * [Counting tokens](https://developers.openai.com/api/docs/guides/token-counting) ### SDKs and CLI * [OpenAI SDK](https://developers.openai.com/api/docs/libraries) * [OpenAI CLI](https://developers.openai.com/api/docs/libraries/openai-cli) ### Resources * [Changelog](https://developers.openai.com/api/docs/changelog) * [Deprecations](https://developers.openai.com/api/docs/deprecations) * [Supported countries](https://developers.openai.com/api/docs/supported-countries) * [OpenAI Crawlers](https://developers.openai.com/api/docs/bots) * [Terms and policies](https://openai.com/policies) ### Legacy APIs * Agent Builder * [Overview](https://developers.openai.com/api/docs/guides/agent-builder) * [Migration guide](https://developers.openai.com/api/docs/guides/agent-builder/migrate-from-agent-builder) * [Node reference](https://developers.openai.com/api/docs/guides/node-reference) * [Safety in building agents](https://developers.openai.com/api/docs/guides/agent-builder-safety) * Evals * [Getting started](https://developers.openai.com/api/docs/guides/evaluation-getting-started) * [Working with evals](https://developers.openai.com/api/docs/guides/evals) * [Prompt optimizer](https://developers.openai.com/api/docs/guides/prompt-optimizer) * [External models](https://developers.openai.com/api/docs/guides/external-models) * [Best practices](https://developers.openai.com/api/docs/guides/evaluation-best-practices) * [Graders](https://developers.openai.com/api/docs/guides/graders) * Fine-tuning * [Optimization cycle](https://developers.openai.com/api/docs/guides/model-optimization) * [Supervised fine-tuning](https://developers.openai.com/api/docs/guides/supervised-fine-tuning) * [Vision fine-tuning](https://developers.openai.com/api/docs/guides/vision-fine-tuning) * [Direct preference optimization](https://developers.openai.com/api/docs/guides/direct-preference-optimization) * [Reinforcement fine-tuning](https://developers.openai.com/api/docs/guides/reinforcement-fine-tuning) * [RFT use cases](https://developers.openai.com/api/docs/guides/rft-use-cases) * [Best practices](https://developers.openai.com/api/docs/guides/fine-tuning-best-practices) * Assistants API * [Migration guide](https://developers.openai.com/api/docs/assistants/migration) * [Deep dive](https://developers.openai.com/api/docs/assistants/deep-dive) * [Tools](https://developers.openai.com/api/docs/assistants/tools) * [Model catalog](https://developers.openai.com/api/docs/models) ### Choose a model * [Pricing](https://developers.openai.com/api/docs/pricing) * [Model selection](https://developers.openai.com/api/docs/guides/model-selection) ### Text and code * [Text generation](https://developers.openai.com/api/docs/guides/text) * [Code generation](https://developers.openai.com/api/docs/guides/code-generation) * [Structured output](https://developers.openai.com/api/docs/guides/structured-outputs) ### Prompting * [Overview](https://developers.openai.com/api/docs/guides/prompting) * [Prompt engineering](https://developers.openai.com/api/docs/guides/prompt-engineering) * [Citation formatting](https://developers.openai.com/api/docs/guides/citation-formatting) * [Migration guide](https://developers.openai.com/api/docs/guides/prompting/migrate-from-prompt-object) * [Prompt generation](https://developers.openai.com/api/docs/guides/prompt-generation) * [Frontend prompting](https://developers.openai.com/api/docs/guides/frontend-prompt) ### Reasoning * [Reasoning models](https://developers.openai.com/api/docs/guides/reasoning) * [Reasoning best practices](https://developers.openai.com/api/docs/guides/reasoning-best-practices) ### Images and video * [Images and vision](https://developers.openai.com/api/docs/guides/images-vision) * [Image generation](https://developers.openai.com/api/docs/guides/image-generation) * [Video generation](https://developers.openai.com/api/docs/guides/video-generation) ### Realtime and audio * [Audio and speech](https://developers.openai.com/api/docs/guides/audio) * [Overview](https://developers.openai.com/api/docs/guides/realtime) * [Voice agents](https://developers.openai.com/api/docs/guides/voice-agents) ### Specialized models * [Deep research](https://developers.openai.com/api/docs/guides/deep-research) * [Embeddings](https://developers.openai.com/api/docs/guides/embeddings) * [Moderation](https://developers.openai.com/api/docs/guides/moderation) * [Overview](https://developers.openai.com/api/docs/guides/agents) ### Agents SDK * [Quickstart](https://developers.openai.com/api/docs/guides/agents/quickstart) * [Agent definitions](https://developers.openai.com/api/docs/guides/agents/define-agents) * [Models and providers](https://developers.openai.com/api/docs/guides/agents/models) * [Running agents](https://developers.openai.com/api/docs/guides/agents/running-agents) * [Sandbox agents](https://developers.openai.com/api/docs/guides/agents/sandboxes) * [Orchestration](https://developers.openai.com/api/docs/guides/agents/orchestration) * [Guardrails](https://developers.openai.com/api/docs/guides/agents/guardrails-approvals) * [Results and state](https://developers.openai.com/api/docs/guides/agents/results) * [Integrations and observability](https://developers.openai.com/api/docs/guides/agents/integrations-observability) * [Evaluate agent workflows](https://developers.openai.com/api/docs/guides/agent-evals) ### ChatKit * [Overview](https://developers.openai.com/api/docs/guides/chatkit) * [Customize](https://developers.openai.com/api/docs/guides/chatkit-themes) * [Widgets](https://developers.openai.com/api/docs/guides/chatkit-widgets) * [Actions](https://developers.openai.com/api/docs/guides/chatkit-actions) * [Advanced integrations](https://developers.openai.com/api/docs/guides/custom-chatkit) * [Overview](https://developers.openai.com/api/docs/guides/tools) * [Function calling](https://developers.openai.com/api/docs/guides/function-calling) ### Search and retrieval * [Web search](https://developers.openai.com/api/docs/guides/tools-web-search) * [File search](https://developers.openai.com/api/docs/guides/tools-file-search) * [Retrieval](https://developers.openai.com/api/docs/guides/retrieval) ### Connect tools and data * [MCP and Connectors](https://developers.openai.com/api/docs/guides/tools-connectors-mcp) * [Secure MCP Tunnel](https://developers.openai.com/api/docs/guides/secure-mcp-tunnels) ### Build tool workflows * [Skills](https://developers.openai.com/api/docs/guides/tools-skills) * [Tool search](https://developers.openai.com/api/docs/guides/tools-tool-search) * [Programmatic tool calling](https://developers.openai.com/api/docs/guides/tools-programmatic-tool-calling) ### Computer and code * [Shell](https://developers.openai.com/api/docs/guides/tools-shell) * [Computer use](https://developers.openai.com/api/docs/guides/tools-computer-use) * [Apply Patch](https://developers.openai.com/api/docs/guides/tools-apply-patch) * [Local shell](https://developers.openai.com/api/docs/guides/tools-local-shell) * [Code interpreter](https://developers.openai.com/api/docs/guides/tools-code-interpreter) ### Media * [Image generation](https://developers.openai.com/api/docs/guides/tools-image-generation) * [Overview](https://developers.openai.com/api/docs/guides/realtime) ### Get started * [Voice agents](https://developers.openai.com/api/docs/guides/voice-agents) * [Live translation](https://developers.openai.com/api/docs/guides/realtime-translation) * [Realtime prompting guide](https://developers.openai.com/api/docs/guides/realtime-models-prompting) ### Audio * [Audio and speech](https://developers.openai.com/api/docs/guides/audio) * [Transcription](https://developers.openai.com/api/docs/guides/transcription) * [File transcription](https://developers.openai.com/api/docs/guides/speech-to-text) * [Realtime transcription](https://developers.openai.com/api/docs/guides/realtime-transcription) * [Speech generation](https://developers.openai.com/api/docs/guides/text-to-speech) ### Connection methods * [WebRTC](https://developers.openai.com/api/docs/guides/realtime-webrtc) * [WebSocket](https://developers.openai.com/api/docs/guides/realtime-websocket) * [SIP](https://developers.openai.com/api/docs/guides/realtime-sip) ### Sessions and operations * [Managing conversations](https://developers.openai.com/api/docs/guides/realtime-conversations) * [Voice activity detection](https://developers.openai.com/api/docs/guides/realtime-vad) * [Realtime with tools](https://developers.openai.com/api/docs/guides/realtime-mcp) * [Webhooks and server-side controls](https://developers.openai.com/api/docs/guides/realtime-server-controls) * [Managing costs](https://developers.openai.com/api/docs/guides/realtime-costs) ### Go live * [Production best practices](https://developers.openai.com/api/docs/guides/production-best-practices) * [Deployment checklist](https://developers.openai.com/api/docs/guides/deployment-checklist) ### Performance and quality * [Latency optimization](https://developers.openai.com/api/docs/guides/latency-optimization) * [Predicted Outputs](https://developers.openai.com/api/docs/guides/predicted-outputs) * [Fast mode](https://developers.openai.com/api/docs/guides/fast-mode) * [Accuracy optimization](https://developers.openai.com/api/docs/guides/optimizing-llm-accuracy) ### Cost and throughput * [Cost optimization](https://developers.openai.com/api/docs/guides/cost-optimization) * [Prompt caching](https://developers.openai.com/api/docs/guides/prompt-caching) * [Batch](https://developers.openai.com/api/docs/guides/batch) * [Flex processing](https://developers.openai.com/api/docs/guides/flex-processing) ### Safety and governance * [Safety best practices](https://developers.openai.com/api/docs/guides/safety-best-practices) * [Red teaming](https://developers.openai.com/api/docs/guides/red-teaming) * [Safety checks](https://developers.openai.com/api/docs/guides/safety-checks) * [Cybersecurity checks](https://developers.openai.com/api/docs/guides/safety-checks/cybersecurity) * [Under 18 API Guidance](https://developers.openai.com/api/docs/guides/safety-checks/under-18-api-guidance) * [Content provenance](https://developers.openai.com/api/docs/guides/content-provenance) * [Your data](https://developers.openai.com/api/docs/guides/your-data) * [Permissions](https://developers.openai.com/api/docs/guides/rbac) ### Infrastructure and access * [Terraform provider](https://developers.openai.com/api/docs/guides/terraform) * [Overview](https://developers.openai.com/api/docs/guides/terraform) * [Projects and access](https://developers.openai.com/api/docs/guides/terraform/projects-and-access) * [Service accounts](https://developers.openai.com/api/docs/guides/terraform/service-accounts) * [Rate limits and spend](https://developers.openai.com/api/docs/guides/terraform/rate-limits-and-spend) * [Model, tool, and data controls](https://developers.openai.com/api/docs/guides/terraform/project-controls) * [Import and reconciliation](https://developers.openai.com/api/docs/guides/terraform/import-and-reconcile) * [Private Link](https://developers.openai.com/api/docs/guides/private-link) * [IP allowlist](https://developers.openai.com/api/docs/guides/ip-allowlist) * [Workload identity federation](https://developers.openai.com/api/docs/guides/workload-identity-federation) * [X.509 certificates (beta)](https://developers.openai.com/api/docs/guides/workload-identity-federation/x509) * [Kubernetes](https://developers.openai.com/api/docs/guides/workload-identity-federation/kubernetes) * [AWS](https://developers.openai.com/api/docs/guides/workload-identity-federation/aws) * [Microsoft Azure](https://developers.openai.com/api/docs/guides/workload-identity-federation/microsoft-azure) * [Google Cloud](https://developers.openai.com/api/docs/guides/workload-identity-federation/google-cloud) * [Oracle Cloud Infrastructure](https://developers.openai.com/api/docs/guides/workload-identity-federation/oracle-cloud) * [GitHub Actions](https://developers.openai.com/api/docs/guides/workload-identity-federation/github-actions) * [SPIFFE](https://developers.openai.com/api/docs/guides/workload-identity-federation/spiffe) * [IP egress ranges](https://developers.openai.com/api/docs/guides/ip-addresses) * [Amazon Bedrock](https://developers.openai.com/api/docs/guides/amazon-bedrock) ### Operations * [Rate limits](https://developers.openai.com/api/docs/guides/rate-limits) * [Spend limits](https://developers.openai.com/api/docs/guides/spend-limits) * [Admin APIs](https://developers.openai.com/api/docs/guides/admin-apis) * [Error codes](https://developers.openai.com/api/docs/guides/error-codes) [Docs](https://learn.chatgpt.com/docs)[Use cases](https://learn.chatgpt.com/use-cases) Docs section Docs Plugins Workspace Agents Commerce Ads Docs section Select... * [Home](https://developers.openai.com/plugins) * [Quickstart](https://developers.openai.com/plugins/quickstart) ### Core concepts * [Plugin architecture](https://developers.openai.com/plugins/concepts/plugins) * [Skills](https://developers.openai.com/plugins/concepts/skills) * [MCP server](https://developers.openai.com/plugins/concepts/mcp-server) ### Plan * [Brainstorm use cases](https://developers.openai.com/plugins/plan/use-case) * [Define tools](https://developers.openai.com/plugins/plan/tools) ### Build * [Build an MCP server](https://developers.openai.com/plugins/build/mcp-server) * [Add UI to your MCP server (optional)](https://developers.openai.com/plugins/build/chatgpt-ui) * [Authenticate users](https://developers.openai.com/plugins/build/auth) * [Build skills](https://developers.openai.com/plugins/build/skills) * [Package your plugin](https://developers.openai.com/plugins/build/plugins) * [Examples](https://developers.openai.com/plugins/build/examples) ### Test and publish * [Connect and test your plugin](https://developers.openai.com/plugins/deploy/connect-chatgpt) * [Submit and publish](https://developers.openai.com/plugins/deploy/submission) * [Submission error reference](https://developers.openai.com/plugins/deploy/submission-errors) ### Conversion specs * [Restaurant reservation spec](https://developers.openai.com/plugins/guides/restaurant-reservation-conversion-spec) * [Get Quote spec](https://developers.openai.com/plugins/guides/local-services-request-quote-conversion-spec) * [Product checkout spec](https://developers.openai.com/plugins/guides/product-checkout-conversion-spec) ### Guides * [UI guidelines](https://developers.openai.com/plugins/concepts/ui-guidelines) * [Optimize Metadata](https://developers.openai.com/plugins/guides/optimize-metadata) * [Submit a Claude Code plugin](https://developers.openai.com/plugins/guides/submit-claude-plugin) * [Security & Privacy](https://developers.openai.com/plugins/guides/security-privacy) * [Troubleshooting](https://developers.openai.com/plugins/deploy/troubleshooting) ### Resources * [Changelog](https://developers.openai.com/plugins/changelog) * [Plugin guidelines](https://developers.openai.com/plugins/app-guidelines) * [MCP server review requirements](https://developers.openai.com/plugins/deploy/app-review) * [Plugin UI reference](https://developers.openai.com/plugins/reference) * [Checkout API reference](https://developers.openai.com/plugins/build/monetization) * [Home](https://developers.openai.com/workspace-agents) ### Get started * [Trigger workspace agent runs](https://developers.openai.com/workspace-agents/trigger-runs) * [Authenticate with Workspace Agent access tokens](https://developers.openai.com/workspace-agents/authentication) * [Home](https://developers.openai.com/commerce) ### Guides * [Get started](https://developers.openai.com/commerce/guides/get-started) * [Best practices](https://developers.openai.com/commerce/guides/best-practices) ### File Upload * [Overview](https://developers.openai.com/commerce/specs/file-upload/overview) * [Products](https://developers.openai.com/commerce/specs/file-upload/products) ### API * [Overview](https://developers.openai.com/commerce/specs/api/overview) * [Feeds](https://developers.openai.com/commerce/specs/api/feeds) * [Products](https://developers.openai.com/commerce/specs/api/products) * [Promotions](https://developers.openai.com/commerce/specs/api/promotions) * [Ads Overview](https://developers.openai.com/ads) ### Measurement * [Measurement Pixel](https://developers.openai.com/ads/measurement-pixel) * [Multiple Pixels (Advanced)](https://developers.openai.com/ads/multiple-pixels) * [Image Tag](https://developers.openai.com/ads/image-tag) * [Conversions API](https://developers.openai.com/ads/conversions-api) * [Supported Events](https://developers.openai.com/ads/supported-events) ### Advertiser API * [Overview](https://developers.openai.com/ads/api-overview) * [API Partner Setup](https://developers.openai.com/ads/api-partner-setup) * [Quickstart](https://developers.openai.com/ads/api-quickstart) * [Bulk API](https://developers.openai.com/ads/bulk-api) * [Product Feeds](https://developers.openai.com/ads/product-feeds) * [Delta Feeds API](https://developers.openai.com/ads/delta-feeds) * [Campaign Targeting](https://developers.openai.com/ads/campaign-targeting) * [Conversion-Optimized Campaigns](https://developers.openai.com/ads/conversion-optimized-campaigns) ### API Reference * [Authentication](https://developers.openai.com/ads/api-reference/authentication) * [Ad Account](https://developers.openai.com/ads/api-reference/ad-account) * [Campaigns](https://developers.openai.com/ads/api-reference/campaigns) * [Ad Groups](https://developers.openai.com/ads/api-reference/ad-groups) * [Ads](https://developers.openai.com/ads/api-reference/ads) * [Insights](https://developers.openai.com/ads/api-reference/insights) * [Files](https://developers.openai.com/ads/api-reference/files) * [Conversion Setup](https://developers.openai.com/ads/api-reference/conversion-setup) Overview Features Configuration Developers Security Administration Use Cases Resources Docs section Overview * [Home](https://developers.openai.com/codex) ### Get started * [Quickstart](https://developers.openai.com/codex/quickstart) * [Use ChatGPT](https://developers.openai.com/codex/use-chatgpt) * [Get started with Work](https://developers.openai.com/codex/get-started-with-work) * [Import from another agent](https://developers.openai.com/codex/import) ### Foundations * [Prompting](https://developers.openai.com/codex/prompting) * [Personalize ChatGPT](https://developers.openai.com/codex/personalize) * [Skills & Plugins](https://developers.openai.com/codex/skills-and-plugins) * [Permissions](https://developers.openai.com/codex/permission-modes) ### Explore * [What's new](https://developers.openai.com/codex/whats-new) * [Models](https://developers.openai.com/codex/models) * [Pricing](https://developers.openai.com/codex/pricing) * [Glossary](https://developers.openai.com/codex/glossary) ### Available on * [ChatGPT desktop app](https://developers.openai.com/codex/app) * [Remote](https://developers.openai.com/codex/remote) * [ChatGPT on the web](https://developers.openai.com/codex/web) * [Codex CLI](https://developers.openai.com/codex/cli) * [Codex IDE extension](https://developers.openai.com/codex/ide) * [Codex cloud](https://developers.openai.com/codex/cloud) ### Releases * [Changelog](https://developers.openai.com/codex/changelog) * [Feature Maturity](https://developers.openai.com/codex/feature-maturity) * [Open Source](https://developers.openai.com/codex/open-source) * [Overview](https://developers.openai.com/codex/features) ### Workflows * [Projects and chats](https://developers.openai.com/codex/projects) * [Sites](https://developers.openai.com/codex/sites) * [Visualizations](https://developers.openai.com/codex/visualizations) * [Scheduled tasks](https://developers.openai.com/codex/automations) * [Long-running work](https://developers.openai.com/codex/long-running-work) * [Notifications](https://developers.openai.com/codex/notifications) * [Pets](https://developers.openai.com/codex/pets) * [Codex Micro](https://developers.openai.com/codex/features/codex-micro) ### Capabilities * [Browser](https://developers.openai.com/codex/browser) * [Computer use](https://developers.openai.com/codex/computer-use) * [Voice](https://developers.openai.com/codex/features/voice) * [Plugins](https://developers.openai.com/codex/plugins) * [Web search](https://developers.openai.com/codex/web-search) * [Image generation](https://developers.openai.com/codex/image-generation) * [Image inputs](https://developers.openai.com/codex/image-inputs) * [Appshots](https://developers.openai.com/codex/appshots) * [Chrome extension](https://developers.openai.com/codex/chrome-extension) * [Work with files](https://developers.openai.com/codex/artifacts-viewer) ### Reference * [Commands](https://developers.openai.com/codex/reference/commands) * [Slash commands](https://developers.openai.com/codex/reference/slash-commands) * [Settings](https://developers.openai.com/codex/reference/settings) * [Troubleshooting](https://developers.openai.com/codex/reference/troubleshooting) * [Overview](https://developers.openai.com/codex/configuration) ### Customization * [Overview](https://developers.openai.com/codex/customization/overview) * [Memories](https://developers.openai.com/codex/customization/memories) * [Computer History](https://developers.openai.com/codex/customization/computer-history) ### Config file * [Config Basics](https://developers.openai.com/codex/config-file/config-basic) * [Advanced Config](https://developers.openai.com/codex/config-file/config-advanced) * [Config Reference](https://developers.openai.com/codex/config-file/config-reference) * [Environment Variables](https://developers.openai.com/codex/config-file/environment-variables) * [Sample Config](https://developers.openai.com/codex/config-file/config-sample) ### Agent configuration * [AGENTS.md](https://developers.openai.com/codex/agent-configuration/agents-md) * [Subagents](https://developers.openai.com/codex/agent-configuration/subagents) * [Speed](https://developers.openai.com/codex/agent-configuration/speed) * [Rules](https://developers.openai.com/codex/agent-configuration/rules) ### Extend ChatGPT and Codex * [Record & Replay](https://developers.openai.com/codex/extend/record-and-replay) * [MCP](https://developers.openai.com/codex/extend/mcp) ### Linux * [Desktop app](https://developers.openai.com/codex/linux/linux-app) ### Windows * [Desktop app](https://developers.openai.com/codex/windows/windows-app) * [Windows sandbox](https://developers.openai.com/codex/windows/windows-sandbox) * [WSL](https://developers.openai.com/codex/windows/wsl) * [Overview](https://developers.openai.com/codex/developers) ### Development workflows * [Code review](https://developers.openai.com/codex/code-review) * [Integrated terminal](https://developers.openai.com/codex/integrated-terminal) ### Extend and automate * [Build skills](https://developers.openai.com/codex/build-skills) * [Build plugins](https://developers.openai.com/codex/build-plugins) * [Hooks](https://developers.openai.com/codex/hooks) ### Environments * [Modes](https://developers.openai.com/codex/environments/modes) * [Local environments](https://developers.openai.com/codex/environments/local-environment) * [Cloud environment](https://developers.openai.com/codex/environments/cloud-environment) * [Git worktrees](https://developers.openai.com/codex/environments/git-worktrees) ### Build with Codex * [Codex SDK](https://developers.openai.com/codex/codex-sdk) * [App Server](https://developers.openai.com/codex/app-server) * [MCP Server](https://developers.openai.com/codex/mcp-server) * [GitHub Action](https://developers.openai.com/codex/github-action) * [Non-interactive mode](https://developers.openai.com/codex/non-interactive-mode) ### Third-party integrations * [GitHub](https://developers.openai.com/codex/third-party/github) * [Slack](https://developers.openai.com/codex/third-party/slack) * [Linear](https://developers.openai.com/codex/third-party/linear) ### Reference * [CLI customization](https://developers.openai.com/codex/cli-customization) * [Developer commands](https://developers.openai.com/codex/developer-commands) * [Developer settings](https://developers.openai.com/codex/developer-settings) * [Overview](https://developers.openai.com/codex/security-administration) ### Permissions * [Profiles](https://developers.openai.com/codex/permissions) * [Sandboxing](https://developers.openai.com/codex/sandboxing) * [Auto-review](https://developers.openai.com/codex/sandboxing/auto-review) * [Agent approvals & security](https://developers.openai.com/codex/agent-approvals-security) * [Internet access](https://developers.openai.com/codex/cloud/internet-access) ### Codex Security * [Overview](https://developers.openai.com/codex/security) * Codex Security plugin * [Quickstart](https://developers.openai.com/codex/security/plugin) * [Run a security scan](https://developers.openai.com/codex/security/plugin/scans) * [Run a deep scan](https://developers.openai.com/codex/security/plugin/deep-scans) * [Review code changes](https://developers.openai.com/codex/security/plugin/code-changes) * [Use the Security workbench](https://developers.openai.com/codex/security/plugin/workbench) * [Triage a backlog](https://developers.openai.com/codex/security/plugin/triage-backlog) * [Fix findings](https://developers.openai.com/codex/security/plugin/fix-findings) * [Propose security hardening](https://developers.openai.com/codex/security/plugin/security-hardening) * [Write vulnerability reports](https://developers.openai.com/codex/security/plugin/vulnerability-reports) * [Export and track findings](https://developers.openai.com/codex/security/plugin/export-findings) * [Changelog](https://developers.openai.com/codex/security/plugin/changelog) * Codex Security CLI * [Quickstart](https://developers.openai.com/codex/security/cli) * [Run bulk scans](https://developers.openai.com/codex/security/cli/bulk-scans) * [Run scans in CI](https://developers.openai.com/codex/security/cli/ci) * [Reference](https://developers.openai.com/codex/security/cli/reference) * [FAQ](https://developers.openai.com/codex/security/cli/faq) * [TypeScript SDK](https://developers.openai.com/codex/security/sdk) * Codex Security cloud * [Setup](https://developers.openai.com/codex/security/setup) * [Security Review](https://developers.openai.com/codex/security/security-review) * [Improving the threat model](https://developers.openai.com/codex/security/threat-model) * [FAQ](https://developers.openai.com/codex/security/faq) ### Cyber safety * [Models & Trusted Access](https://developers.openai.com/codex/cyber-safety) * [Recommended configuration](https://developers.openai.com/codex/cyber-safety/recommended-configuration) * [Overview](https://developers.openai.com/codex/administration) ### Getting started * [Admin rollout guide](https://developers.openai.com/codex/enterprise/admin-setup) * [ChatGPT Work Overview](https://developers.openai.com/codex/enterprise/chatgpt-work-overview) * [ChatGPT Work admin FAQ](https://developers.openai.com/codex/enterprise/work-admin-faq) ### Identity and authentication * [Authentication overview](https://developers.openai.com/codex/auth) * [Personal Access Tokens](https://developers.openai.com/codex/enterprise/access-tokens) * [Service accounts](https://developers.openai.com/codex/enterprise/service-accounts) ### Workspace access, policy, and models * [Groups and provisioning](https://developers.openai.com/codex/enterprise/groups-and-provisioning) * [Roles and workspace permissions](https://developers.openai.com/codex/enterprise/roles-and-workspace-permissions) * [GPTs and Sharing](https://developers.openai.com/codex/enterprise/gpts-and-sharing) * [Managed configuration](https://developers.openai.com/codex/enterprise/managed-configuration) * [Prisma AIRS](https://developers.openai.com/codex/enterprise/prisma-airs) * [HIPAA configuration](https://developers.openai.com/codex/hipaa-configuration) * [Workspace model availability](https://developers.openai.com/codex/enterprise/workspace-model-availability) ### Plugin and connector controls * [Plugin controls](https://developers.openai.com/codex/enterprise/apps-and-connectors) * [Skill controls](https://developers.openai.com/codex/enterprise/skills) ### Usage, governance, and compliance * [Governance](https://developers.openai.com/codex/enterprise/governance) * [Workspace analytics](https://developers.openai.com/codex/enterprise/workspace-analytics) * [Analytics API](https://developers.openai.com/codex/enterprise/analytics-api) * [Compliance API and audit events](https://developers.openai.com/codex/enterprise/compliance-api) ### Deployment and model providers * [Manage app updates](https://developers.openai.com/codex/enterprise/manage-app-updates) * [Windows app deployment](https://developers.openai.com/codex/enterprise/windows-deployment) * [Remote connections](https://developers.openai.com/codex/remote-connections) * [Amazon Bedrock](https://developers.openai.com/codex/amazon-bedrock) * [Explore use cases](https://developers.openai.com/codex/use-cases) * [Collections](https://developers.openai.com/codex/use-cases/collections) * [Home](https://developers.openai.com/codex/resources) * [Videos](https://developers.openai.com/codex/videos) * [Showcase](https://developers.openai.com/showcase) * [OpenAI Academy](https://openai.com/academy/) * [Online trainings](https://academy.openai.com/home/events) ### Community * [Codex Ambassadors](https://developers.openai.com/community/codex-ambassadors) * [Codex for Students](https://developers.openai.com/community/students) * [Codex for Open Source](https://developers.openai.com/community/codex-for-oss) * [Meetups](https://developers.openai.com/community/meetups) ### Blog * [Company blog](https://openai.com/news/) * [Developer blog](https://developers.openai.com/blog) * [Explore use cases](https://developers.openai.com/codex/use-cases) * [Collections](https://developers.openai.com/codex/use-cases/collections) * [Home](https://developers.openai.com/codex/resources) * [Videos](https://developers.openai.com/codex/videos) * [Showcase](https://developers.openai.com/showcase) * [OpenAI Academy](https://openai.com/academy/) * [Online trainings](https://academy.openai.com/home/events) ### Community * [Codex Ambassadors](https://developers.openai.com/community/codex-ambassadors) * [Codex for Students](https://developers.openai.com/community/students) * [Codex for Open Source](https://developers.openai.com/community/codex-for-oss) * [Meetups](https://developers.openai.com/community/meetups) ### Blog * [Company blog](https://openai.com/news/) * [Developer blog](https://developers.openai.com/blog) [Showcase](https://developers.openai.com/showcase) Blog Cookbook Learn Community Docs section Blog * [All posts](https://developers.openai.com/blog) ### Recent * [Custom Code Review rules for Codex](https://developers.openai.com/blog/custom-code-review-rules-for-codex) * [Mastering remote engineering work from your phone](https://developers.openai.com/blog/mastering-codex-remote-for-engineering) * [Making private MCP servers reachable without making them public](https://developers.openai.com/blog/connect-private-mcp-servers-to-openai-products) * [How Perplexity Brought Voice Search to Millions Using the Realtime API](https://developers.openai.com/blog/realtime-perplexity-computer) * [Designing delightful frontends with GPT-5.4](https://developers.openai.com/blog/designing-delightful-frontends-with-gpt-5-4) ### Topics * [General](https://developers.openai.com/blog/topic/general) * [API](https://developers.openai.com/blog/topic/api) * [Apps SDK](https://developers.openai.com/blog/topic/apps-sdk) * [Audio](https://developers.openai.com/blog/topic/audio) * [Codex](https://developers.openai.com/blog/topic/codex) * [Home](https://developers.openai.com/cookbook) ### Topics * [Agents](https://developers.openai.com/cookbook/topic/agents) * [Evals](https://developers.openai.com/cookbook/topic/evals) * [Multimodal](https://developers.openai.com/cookbook/topic/multimodal) * [Text](https://developers.openai.com/cookbook/topic/text) * [Guardrails](https://developers.openai.com/cookbook/topic/guardrails) * [Optimization](https://developers.openai.com/cookbook/topic/optimization) * [ChatGPT](https://developers.openai.com/cookbook/topic/chatgpt) * [Codex](https://developers.openai.com/cookbook/topic/codex) * [gpt-oss](https://developers.openai.com/cookbook/topic/gpt-oss) ### Contribute * [Cookbook on GitHub](https://github.com/openai/openai-cookbook) * [Home](https://developers.openai.com/learn) * [OpenAI Developers plugin](https://developers.openai.com/learn/developers-codex-plugin) * [Docs MCP](https://developers.openai.com/learn/docs-mcp) ### Categories * [Demo apps](https://developers.openai.com/learn/code) * [Videos](https://developers.openai.com/learn/videos) ### Topics * [Agents](https://developers.openai.com/learn/agents) * [Audio & Voice](https://developers.openai.com/learn/audio) * [Computer Use](https://developers.openai.com/learn/cua) * [Codex](https://developers.openai.com/learn/codex) * [Evals](https://developers.openai.com/learn/evals) * [gpt-oss](https://developers.openai.com/learn/gpt-oss) * [Fine-tuning](https://developers.openai.com/learn/fine-tuning) * [Image generation](https://developers.openai.com/learn/imagegen) * [Scaling](https://developers.openai.com/learn/scaling) * [Tools](https://developers.openai.com/learn/tools) * [Video generation](https://developers.openai.com/learn/videogen) * [Community](https://developers.openai.com/community) ### Programs * [Codex Ambassadors](https://developers.openai.com/community/codex-ambassadors) * [Codex for Students](https://developers.openai.com/community/students) * [Codex for Open Source](https://developers.openai.com/community/codex-for-oss) * [OpenAI for Startups](https://openai.com/business/why-openai/startups/) ### Events * [Meetups](https://developers.openai.com/community/meetups) ### Spaces * [Developer Forum](https://community.openai.com/) * [Discord](https://discord.com/invite/openai) * [Reddit](https://www.reddit.com/r/OpenAI/) * [X](https://x.com/OpenAIDevs) [API Dashboard](https://platform.openai.com/login) [Try ChatGPT](https://chatgpt.com/) * [All posts](https://developers.openai.com/blog) ### Recent * [Custom Code Review rules for Codex](https://developers.openai.com/blog/custom-code-review-rules-for-codex) * [Mastering remote engineering work from your phone](https://developers.openai.com/blog/mastering-codex-remote-for-engineering) * [Making private MCP servers reachable without making them public](https://developers.openai.com/blog/connect-private-mcp-servers-to-openai-products) * [How Perplexity Brought Voice Search to Millions Using the Realtime API](https://developers.openai.com/blog/realtime-perplexity-computer) * [Designing delightful frontends with GPT-5.4](https://developers.openai.com/blog/designing-delightful-frontends-with-gpt-5-4) ### Topics * [General](https://developers.openai.com/blog/topic/general) * [API](https://developers.openai.com/blog/topic/api) * [Apps SDK](https://developers.openai.com/blog/topic/apps-sdk) * [Audio](https://developers.openai.com/blog/topic/audio) * [Codex](https://developers.openai.com/blog/topic/codex) Copy Page Copy Page Jun 26, 2026 General # Making private MCP servers reachable without making them public How we preserved private network boundaries while supporting MCP streaming, authentication, and an inspectable client. Author: Denys Kurylenko ![Image 2: Making private MCP servers reachable without making them public](https://developers.openai.com/images/blog/connect-private-mcp-servers-safely.png) We built [Secure MCP Tunnel](https://developers.openai.com/api/docs/guides/secure-mcp-tunnels) because the MCP servers teams care about most are often the ones they least want to expose to the Internet. We wanted to share how we approached that constraint: keeping private servers private while still giving ChatGPT, Codex, and other OpenAI products a normal MCP request path. The [Model Context Protocol](https://modelcontextprotocol.io/) has made it easier for AI systems to connect to external tools and data. But many of the most valuable MCP servers run inside enterprise networks, private service meshes, developer laptops, and other environments designed to reject inbound public traffic. Connecting these servers to hosted AI products has often required teams to create public endpoints, deploy additional proxy infrastructure, or introduce new network operators into sensitive paths. Secure MCP Tunnel provides a simpler approach: Customers run a small client inside their private environment that establishes an outbound HTTPS connection to OpenAI. The client: 1. Receives MCP requests 2. Forwards them to an approved local server 3. Returns responses and notifications through the same connection. OpenAI products can use the standard MCP request and response model, while the underlying server remains behind the customer’s existing network controls. Making that work reliably and securely meant solving several engineering problems at once: preserving the server’s private network boundary, supporting MCP’s streaming and authentication flows, and giving teams a client they can inspect and operate. This post walks through those decisions. We designed the tunnel around a small set of principles: outbound-only connectivity, explicit destination configuration, compatibility with MCP streaming and notifications, and a customer-run client that teams can inspect and operate themselves. Together, these make it possible to easily connect private tools and data to OpenAI products without turning private MCP servers into public services. ## The wrong defaults Today, teams typically make a private service reachable in one of three ways: expose a public endpoint, run a third-party tunnel, or extend the network with a VPN or peering connection. * A public endpoint makes access easy by weakening the boundary. * A third-party tunnel provider can make a private server reachable quickly, but it also adds another vendor to review, contract with, operate, and trust in the connectivity path. For enterprise teams, that is not a small detail: the tunnel provider becomes part of the security review, procurement process, operational runbook, and metadata surface for a system whose purpose is to keep private tools private. * VPNs and network peering solve reachability by creating broad network connectivity, which is often too much machinery for a narrow MCP integration. Secure MCP Tunnel takes a more focused approach. Instead of asking customers to move the MCP server, expand the network perimeter, or introduce another connectivity vendor, Secure MCP Tunnel puts a small, inspectable open-source client next to the private server and lets that client initiate and control the connection to OpenAI. Secure MCP Tunnel turns reachability inside out: the private side makes the first move. OpenAI products send MCP requests to an OpenAI-hosted tunnel endpoint. The tunnel service queues work for a specific tunnel, and the customer-run client, already running next to the private MCP server, picks it up over outbound HTTPS. The client forwards the request locally and returns the response through the same path. This gives OpenAI products a normal MCP request path without requiring the private server to accept inbound public traffic or creating broader network connectivity. ![Image 3: Secure MCP Tunnel request lifecycle diagram.](https://developers.openai.com/images/blog/secure-mcp-tunnel-private-mcp-servers/request-lifecycle.png) Figure 1. Secure MCP Tunnel request lifecycle. ## Why start with long-poll? We deliberately started with a transport that is operationally boring. Outbound HTTPS is already familiar to enterprise firewalls, proxy environments, and platform teams. Long-polling lets the tunnel client ask only for the amount of work it can process, which gives the client-side queue a natural backpressure point instead of encouraging unbounded buffering. That choice also kept the shipped shape easy to reason about: 1. A product sends MCP JSON-RPC to the OpenAI-hosted endpoint. 2. The tunnel service holds or streams that request until the customer-run client returns a final response 3. When asked for streamed results, the tunnel can forward intermediate server-sent events. The result is a normal MCP request/response path for the product while the MCP server and its address remain private. Requests, responses, and intermediate events are relayed through the OpenAI-hosted tunnel endpoint. ## Keeping the security boundary explicit The tunnel is not a way to erase the network boundary; it is a way to make that boundary explicit. The customer-run tunnel client authenticates to the tunnel control plane, the product side uses the OpenAI-hosted tunnel endpoint, and the private MCP address is only used from inside the customer environment. Tunnel access is tied to the customer’s existing OpenAI organization and workspace context and configured tunnel identity, instead of becoming a separate network path with its own access model. The design depends on more than choosing the right network direction. Because the tunnel client runs inside the customer environment, its behavior has to be inspectable and intentionally narrow: customers should be able to understand what code is running, what outbound path it opens, and what private services it is allowed to reach. ![Image 4: The MCP server stays behind the customer boundary.](https://developers.openai.com/images/blog/secure-mcp-tunnel-private-mcp-servers/customer-boundary.png) Figure 2. The MCP server stays behind the customer boundary. ## Making MCP development feel local We wanted the tunnel client to feel like a developer tool, not a network project. A developer should be able to run an MCP server on a laptop, start the tunnel client next to it, and connect that server to ChatGPT or Codex without creating a public endpoint or waiting on a VPN, firewall rule, or peering change. That same flow should carry forward as the server moves from a laptop to Kubernetes, a VM, or another customer-controlled environment. The important part is that the mental model stays the same: run the client near the private MCP server, validate that the client can reach it, and let the client initiate the OpenAI-facing path. Health checks, readiness, logs, and the local admin UI exist to make that loop inspectable when something does not work, not to turn the tunnel into an operations project. The developer experience also lives in Codex itself. The tunnel client includes a [Codex plugin](https://github.com/openai/tunnel-client/tree/master/plugins/tunnel-mcp) that turns setup into a guided workflow instead of asking developers to learn every tunnel-client flag, profile, and control-plane detail up front. The goal is not to create a one-off local shortcut: the plugin should produce the same configuration shape a team can carry forward when the server moves from a laptop to Kubernetes, a VM, or another production environment. The same idea shows up in the assistant workflow packaged with tunnel-client: because the assistant can read the local tunnel context exposed by tunnel-client, it can help a developer reason from the actual setup instead of generic instructions – which profile is active, what config was generated, whether the local MCP server is reachable, and where the tunnel client is in its startup path. That makes troubleshooting part of the developer loop rather than a separate escalation path. ![Image 5: The same tunnel-client loop works from laptop to production.](https://developers.openai.com/images/blog/secure-mcp-tunnel-private-mcp-servers/laptop-to-production.png) Figure 3. The same tunnel-client loop works from laptop to production. ## Why an open-source tunnel client matters The tunnel client is open-source, customer-run software that sits inside the customer boundary, next to private MCP servers. That gives customers and security reviewers a way to inspect the code running inside their environment. Customers and security reviewers can inspect what the client does, what outbound connection it opens, how it forwards MCP requests locally, and what configuration controls its reach. That transparency keeps the trust model aligned with the architecture: OpenAI hosts the tunnel service, but the code running inside the customer environment is small, reviewable, and under the customer’s control. ## Enterprise auth without broad network access Private MCP servers are rarely just anonymous internal HTTP endpoints. They may depend on OAuth, private certificate authorities, outbound proxies, or client certificates on the MCP hop. Supporting those servers meant treating enterprise network assumptions as part of the tunnel design, not as exceptions customers have to work around. The key constraint is that the MCP server still stays private. OAuth discovery for the MCP server travels through the tunnel path, so the hosted product can learn how to authenticate without requiring the MCP server to listen on the public internet. On the customer side, the tunnel client can be configured for the local environment: custom CA bundles, proxy settings, and MCP-side mTLS. We also kept the boundary explicit. The tunnel does not automatically make every related enterprise endpoint reachable from OpenAI. If an authorization server is private, it must still be reachable by the component performing the OAuth flow. That boundary is intentional: Secure MCP Tunnel provides a narrow path to configured private tools, not a general-purpose network bridge. ## Beyond MCP MCP is the primary shape for model tools, but early alpha testing with customers showed that there was a closely related issue as well: not every customer-private workflow is already packaged as an MCP server. Some important workflows are existing REST APIs behind the same firewall boundary. If Secure MCP Tunnel only solved MCP reachability, teams would still need a separate public endpoint, tunnel provider, VPN path, or peering project for those adjacent private APIs. Harpoon extends the same narrow-connectivity model to approved REST targets. Instead of exposing arbitrary URLs, the customer registers labeled targets on the tunnel client. OpenAI-side callers invoke those labels through Secure MCP Tunnel, and the actual HTTP request still originates from inside the customer environment, next to the private service. The important constraint is that labels are not a general-purpose network bridge. Calls stay bounded by customer-owned target registration, allowed methods, response-size limits, timeouts, redirect behavior, and tunnel access controls. That gives approved OpenAI workflows a controlled path to customer-private APIs without asking the customer to open inbound network access or giving OpenAI a VPN-like identity. ## Resources * [tunnel-client on GitHub](https://github.com/openai/tunnel-client) * [Secure MCP Tunnel guide](https://developers.openai.com/api/docs/guides/secure-mcp-tunnels) Ask AI ## Docs agent Loading docs agent...