How to integrate Context7 MCP with ChatGPT Work

Connect ChatGPT Work to Context7 MCP. Get documentation for requests.get in python 3.11, show code example for async file read in node.js, and more using natural language, with authentication handled for you.

Get started for freeGet a demo
Context7 MCP logoContext7 MCP
Api Key

Context7 MCP delivers live, version-specific code docs and examples right from the source. It helps developers and AI agents instantly retrieve authoritative programming info—no more out-of-date docs.

How to integrate Context7 MCP with ChatGPT Work

ChatGPT Work is an agent inside ChatGPT built for your most ambitious work. It takes action across your apps and files, stays with a project for hours, and turns a goal into finished materials like sheets, slides, and docs - not just answers.

In this guide, I will explain the easiest and most secure way to connect your Context7 account to ChatGPT Work via Composio Connect, so it can get documentation for requests.get in python 3.11, show code example for async file read in node.js, explain the difference between map and filter in javascript through natural language commands without ever putting your account credentials at risk.

Also integrate Context7 MCP with

AntigravityOpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexKimi CodeGrok BuildCursorVS CodeOpenCodeOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAIPydantic AIAutoGen

Why use Composio over default connectors?

  • Apps with read and write access. Default connectors mostly can read your data. Composio's Context7 integration lets ChatGPT Work take actions like creating drafts, sending updates, labeling records, and more.
  • 1,000+ SaaS toolkits out of the box. Composio gives you instant access to a vast catalog of pre-built connectors, from Gmail and Slack to Notion, Linear, and Salesforce.
  • One MCP server for every app. Connect any of your applications on demand through a single endpoint, rather than juggling a separate server for each app.
  • Smart, context-aware tool loading. Unlike traditional MCP servers that dump every available tool into the LLM context window, Composio searches for and loads only the tools relevant to the task at hand.
  • Cross-app automation. Chain actions across multiple apps in a single run - fetch a thread, summarize it in Notion, and post highlights to Slack without leaving the conversation.

Prerequisites

  • A ChatGPT account with access to ChatGPT Work (rolling out across Pro, Enterprise, Edu, Plus, and Business plans). We will use the ChatGPT desktop app, which is available on every plan.
  • Access to the Context7 workspace you want to connect.
  • Composio MCP.

Note: Composio connects through OAuth. You will be asked to sign in and approve specific permissions. Review the permission screen carefully if you are using a work account.

Step-by-step: Connect Context7 to ChatGPT Work

1. Open the MCP settings

In ChatGPT Work, go to Settings and open the Plugins section. Inside the Plugins page, click the MCP tab.

ChatGPT Work settings showing the Plugins page with the MCP tab selected

2. Add the server

Click Add server. In the Name field enter Composio, for Type select Streamable HTTP, and in the URL field paste the Composio MCP server URL:

bash
https://connect.composio.dev/mcp
ChatGPT Work Add server dialog with the name Composio, type Streamable HTTP, and the Composio MCP URL

Then click Save. The Composio server now appears in your MCP plugins list.

ChatGPT Work Plugins page showing the Composio MCP server added to the list

3. Authenticate

Click Authenticate, log in via Composio, and click Allow access to authorize ChatGPT Work to use your Composio account.

Composio login and Allow access screen for ChatGPT Work MCP setup

4. Start using Composio

That is it - Composio tools are now available in ChatGPT Work. Ask it to work with your Context7 account and it will run the actions you authorize.

What you can do after connecting Context7

  • Get documentation for requests.get in Python 3.11
  • Show code example for async file read in Node.js
  • Explain the difference between map and filter in JavaScript

Security + privacy notes (important)

  • Use least-privilege access: Only grant permissions you actually need.
  • Review OAuth permissions before approving: Make sure requested scopes match what you expect Composio and ChatGPT Work to do.
  • Keep write actions human-reviewed: For actions like sending messages, creating labels, or editing drafts, keep manual confirmation enabled.
  • Be careful with sensitive data: Avoid using this setup with highly sensitive information unless allowed by your personal, company, or client policies.
FRAMEWORKS

How to build Context7 MCP Agent with another framework

Antigravity logo

Antigravity

Use Context7 MCP with Antigravity

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Context7 MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Context7 MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Context7 MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Context7 MCP with Claude Cowork

Codex logo

Codex

Use Context7 MCP with Codex

Kimi Code logo

Kimi Code

Use Context7 MCP with Kimi Code

Grok Build logo

Grok Build

Use Context7 MCP with Grok Build

Cursor logo

Cursor

Use Context7 MCP with Cursor

VS Code logo

VS Code

Use Context7 MCP with VS Code

OpenCode logo

OpenCode

Use Context7 MCP with OpenCode

OpenClaw logo

OpenClaw

Use Context7 MCP with OpenClaw

Hermes logo

Hermes

Use Context7 MCP with Hermes

CLI logo

CLI

Use Context7 MCP with CLI

Google ADK logo

Google ADK

Use Context7 MCP with Google ADK

LangChain logo

LangChain

Use Context7 MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Context7 MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Context7 MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Context7 MCP with LlamaIndex

CrewAI logo

CrewAI

Use Context7 MCP with CrewAI

Pydantic AI logo

Pydantic AI

Use Context7 MCP with Pydantic AI

AutoGen logo

AutoGen

Use Context7 MCP with AutoGen

FAQ

Frequently asked questions

With a standalone Context7 MCP server, the agents and LLMs can only access a fixed set of Context7 tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Context7 and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. ChatGPT Work fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Context7 tools.

Yes, absolutely. You can configure which Context7 scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Context7 data and credentials are handled as safely as possible.

Start with Context7 MCP.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Context7 MCP tool your agent needs.Free to start.

Start building