Chatgpt MCP Connect

Connect custom MCP servers or an MCP runtime to ChatGPT. Use when the user asks whether an MCP can be used by ChatGPT, or asks to expose, deploy, authenticate, configure, aggregate, or connect MCP capabilities for ChatGPT. Covers direct leaf servers, MCPX runtime aggregation, hosted and local Streamable HTTP, stdio bridging, OAuth 2.1, Cloudflare Workers/Tunnel, Tailscale Funnel, and real verification inside ChatGPT.

Install

skills CLI (Claude Code, Cursor, Codex and more)
npx skills add yoruuuchan/chatgpt-mcp-connect --skill chatgpt-mcp-connect
Manual install
git clone --depth 1 https://github.com/yoruuuchan/chatgpt-mcp-connect.git /tmp/chatgpt-mcp-connect
mkdir -p ~/.claude/skills
cp -r /tmp/chatgpt-mcp-connect/. ~/.claude/skills/chatgpt-mcp-connect

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# chatgpt-mcp-connect

Use this skill when the target client is **ChatGPT**.

## Start from here, not from first principles

ChatGPT can use custom remote MCP servers. Do not spend the task rediscovering that, and do not re-research the basic architecture. The public MCP boundary needs four things at once:

```text
public HTTPS URL  +  Streamable HTTP  +  OAuth 2.1 (DCR/compatible client registration + PKCE)  +  a tool count it accepts
```

Everything you do is to satisfy those four. Read [`docs/architecture.md`](./docs/architecture.md) in this repo for the full map.

## Decide the public boundary before you build

First ask: **is the user exposing one leaf MCP, or do they actually want one persistent connection to several Workspaces, Skills, or MCP servers?**

| Goal | Do this |
|---|---|
| One application-specific MCP | Follow the direct leaf-server decision table below |
| Several local MCPs / Skills / Workspaces behind one connector | Start from [`recipes/mcpx`](./recipes/mcpx/) and use MCPX as the runtime boundary |

Do not automatically build one public OAuth + tunnel + ChatGPT connector per stdio server when the user's real goal is aggregation. MCPX can keep stdio upstream MCPs private behind the runtime and expose them through its stable `mcp_tool` interface.

For a **direct leaf server**, answer two questions and follow the matching recipe in [`recipes/`](./recipes/):

| Speaks HTTP? | Has OAuth? | Do this |
|---|---|---|
Read the full skill on GitHub

Details

Skill name
chatgpt-mcp-connect
License
MIT
Repo updated
27 October 2026

FAQ

What does the Chatgpt MCP Connect skill do?

Connect custom MCP servers or an MCP runtime to ChatGPT. Use when the user asks whether an MCP can be used by ChatGPT, or asks to expose, deploy, authenticate, configure, aggregate, or connect MCP capabilities for ChatGPT. Covers direct leaf servers, MCPX runtime aggregation, hosted and local Streamable HTTP, stdio bridging, OAuth 2.1, Cloudflare Workers/Tunnel, Tailscale Funnel, and real verification inside ChatGPT.

How do I install the Chatgpt MCP Connect skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add yoruuuchan/chatgpt-mcp-connect --skill chatgpt-mcp-connect. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Chatgpt MCP Connect popular?

It lives in yoruuuchan/chatgpt-mcp-connect, which has 5 GitHub stars and 0 forks.

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