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  1. Home
  2. MCPs
  3. Context7 MCP
Context7 MCP

Context7 MCP Integration for AI Agents

Official Context7 MCP server that brings up-to-date, version-specific library documentation and code examples into AI coding prompts.

v4.1.12 toolsOAuth
Open in ChatGPTChatGPT
Open in ClaudeClaude
Playground
VS CodeVS Code
Connected to Context7 MCP via MewCP.

Encrypted at rest, isolated from the model

Resolved from an AES-256-GCM vault at the moment of the call and attached to the request — the model never sees the secrets.

Try asking

Everything Context7 MCP can do

Tools2

resolve-library-id

read

Resolves a package/product name to a Context7-compatible library ID and returns matching libraries. You MUST call this function before 'Query Documentation' tool 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. Each result includes: - Library ID: Context7-compatible identifier (format: /org/project) - Name: Library or package name - Description: Short summary - Code Snippets: Number of available code examples - Source Reputation: Authority indicator (High, Medium, Low, or Unknown) - Benchmark Score: Quality indicator (100 is the highest score) - Versions: List of versions if available. Use one of those versions if the user provides a version in their query. The format of the version is /org/project/version. For best results, select libraries based on name match, source reputation, snippet coverage, benchmark score, and relevance to your use case. 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.

query-docs

read

Retrieves and queries up-to-date documentation and code examples from Context7 for any programming library or framework. You must call 'Resolve Context7 Library ID' tool 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. Do not call this tool more than 3 times per question.

Connect Context7 MCP to your agent

One endpoint, the same key, whichever client you use.

Apps

SDKs

Claude Desktop

Claude Desktop

~/Library/Application Support/Claude/claude_desktop_config.json (Mac) · %APPDATA%\Claude\claude_desktop_config.json (Windows)

JSON
{
  "mcpServers": {
    "mewcp": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@latest",
        "https://gateway.mewcp.com/personal/mcp",
        "--header",
        "Authorization: Bearer API_KEY"
      ]
    }
  }
}

Replace API_KEY with your own key.

Already have an "mcpServers" section in your config? Just add the server entry inside it.

  1. 01Open Claude Desktop → Settings → Developer → "Edit Config"
  2. 02Paste the snippet inside the outer { } of the config file (merge with your existing "mcpServers" section if you have one)
  3. 03Save the file and restart Claude Desktop
  4. 04Start a new conversation — your tool will be available

One endpoint. Every service.

VS CodeAny agent
One Gateway

Firecrawl

API Key

Github

OAuth

HTTP

No auth

Context7 MCP

OAuth

Discovery, routing, credentials, tool scoping and execution logs all happen at the gateway→connections stay ACTIVE with no work from you

Separate connections░░░░░░░░░░░░░░░░░░░░░░░░░░░░73 tool definitions ~27k tokensWith MewCP░░░░░░░░░░░░░░░░░░░░░░░░░░░░4 meta-tools ~4.8k tokens

Built for AI agents

Context7 MCP runs through a gateway that holds the credentials, scopes the access and records every call.

Managed authentication

  • OAuth to Context7 MCP handled end to end, with tokens refreshed before they expire.
  • One credential per end user, not one shared key across your users.
  • Reconnect an account without touching your agent's config.

Credentials stay out of context

  • Context7 MCP credentials are resolved at the gateway and attached to the outbound call.

Ready to connect Context7 MCP?

Managed auth, hosted MCP servers, and every Gmail tool your agent needs.

Free to start.

  • The agent sees tool results, never a token.
  • Revoke an account and the next call stops working — no redeploy.
  • Scoped access, fully logged

    • Choose exactly which Context7 MCP tools an agent is allowed to call.
    • Every call is logged with its outcome, latency and which account it ran as.
    • Catalog changes are reviewed before they ship, so tool descriptions cannot shift under you.

    One endpoint for every server

    • Reach Context7 MCP through the same MCP endpoint as the rest of your toolset.
    • Tools are discovered on demand, so 2 tools do not fill the context window.
    • Stateless: no sessions to keep alive and no reconnect logic.