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AI agent integrationContext7 MCP

Context7 MCP integration for multiplayer collaboration with AI agents using Claude Code or Codex

One governed connection your whole team and its AI agents can share, with approved actions and human review, so working in Context7 MCP never means pasting credentials into a prompt.

Use Context7 MCP from Claude Code

Bring Context7 MCP context into engineering work while Type keeps app access attached to the teammate and workspace.

Automate Context7 MCP with Codex

Let coding agents ask for the right app action, preserve conversation context, and keep humans in the approval loop.

Connect open agent workflows

Use Type as the collaboration layer around OpenClaw and other LLM workflows that need app access.

Developer Tools & IT

What the Context7 MCP integration exposes

Context7 MCP pulls up-to-date, version-specific documentation and code examples straight from the source — and places them directly into your prompt

One connection, many teammates

Connect Context7 MCP once, then decide which teammates can use it for threads, automations, skills, and coding work.

Representative actions

  • Query-docs

    Retrieves and queries up-to-date documentation and code examples from Context7 for any programming library or framework. You must call 'resolve-library-id' first to obtain the exact Context7-compatible library ID required to use this tool, UNLESS the user explicitly provides a library ID in the format '/org/project' or '/org/project/version' in their query. IMPORTANT: Do not call this tool more than 3 times per question. If you cannot find what you need after 3 calls, use the best information you have.

  • Resolve-library-id

    Resolves a package/product name to a Context7-compatible library ID and returns matching libraries. You MUST call this function before 'query-docs' to obtain a valid Context7-compatible library ID UNLESS the user explicitly provides a library ID in the format '/org/project' or '/org/project/version' in their query. Selection Process: 1. Analyze the query to understand what library/package the user is looking for 2. Return the most relevant match based on: - Name similarity to the query (exact matches prioritized) - Description relevance to the query's intent - Documentation coverage (prioritize libraries with higher Code Snippet counts) - Source reputation (consider libraries with High or Medium reputation more authoritative) - Benchmark Score: Quality indicator (100 is the highest score) Response Format: - Return the selected library ID in a clearly marked section - Provide a brief explanation for why this library was chosen - If multiple good matches exist, acknowledge this but proceed with the most relevant one - If no good matches exist, clearly state this and suggest query refinements For ambiguous queries, request clarification before proceeding with a best-guess match. IMPORTANT: Do not call this tool more than 3 times per question. If you cannot find what you need after 3 calls, use the best result you have.

Connection

API and auth details

Context7 is an MCP server that retrieves current, version-specific library documentation and code examples for AI coding tools. Public docs cover installing the MCP server in supported clients and using it to ground prompts with up-to-date framework, package, and API documentation.

FAQ

Questions people ask before connecting Context7 MCP

Can Claude Code use Context7 MCP?

Yes. Type lets an AI teammate use connected Context7 MCP actions from a governed workspace context, so Claude Code work can reference the app without copying credentials into a local prompt.

Can Codex work with Context7 MCP through Type?

Yes. Codex can collaborate through Type with app context, skills, and approved actions. The Context7 MCP catalog entry includes public integration details and example capabilities where available.

Is this the same as a Context7 MCP MCP server?

Type exposes connected app capabilities to AI teammates and coding agents through Type's integration layer. Teams use it when they want shared app access, human review, and teammate-level permissions around agent work.

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