Context7 MCP Server (

Context7 MCP Server (

An unofficial MCP server for Context7 by Upstash.

quiint

Developer Tools
Visit Server

README

Context7 MCP Server (c7-mcp-server)

License: MIT <!-- Add npm version badge once published: NPM Version -->

A Model Context Protocol (MCP) server that acts as a bridge to the Context7 API.

This server allows MCP-compatible clients (like Claude Desktop, IDE plugins, custom applications) to easily interact with Context7's features, including querying documentation context, searching for projects, and retrieving project metadata. It exposes the c7-mcp-server command when installed globally.

⚠️ Important: All data provided through this server comes directly from the official Context7 API (https://context7.com). This server simply provides an MCP interface to that API and does not generate or host any content itself.

Features

Exposes Context7 functionalities via standard MCP capabilities:

  • Tools:
    • c7_query: Query the Context7 API for information on a specific topic within a project. Accepts project name, query text, optional format (txt/json), and optional token limit.
    • c7_search: Search for available Context7 projects by keyword. Returns a list of matching projects (title and usable name).
    • c7_info: Get metadata about a specific Context7 project (like source repository, last update, etc.).
  • Resources:
    • c7_projects_list: Provides a list of all available (valid) Context7 projects via the URI context7://projects/list.

Installation

Prerequisites

  • Node.js (Version 18+ recommended)
  • npm (usually comes with Node.js) or Bun

Option 1: Install from npm (Recommended for Users)

Once published, install the server globally:

npm install -g c7-mcp-server

This will make the c7-mcp-server command available system-wide, allowing MCP clients to launch it.

Option 2: Install from Source (for Development)

  1. Clone the repository:
    git clone <your-repo-url>
    cd c7-mcp-server
    
  2. Install dependencies:
    npm install
    # or if using Bun
    # bun install
    
  3. Build the server:
    npm run build
    
  4. Link the command locally:
    npm link
    # or if using Bun
    # bun link
    

This will make the c7-mcp-server command available on your local machine for testing and development.

Usage

This server is designed to be run by an MCP client application, not typically directly by an end-user (except for testing). The client launches the c7-mcp-server command, and they communicate over standard input/output (stdio) using the MCP protocol.

Configuring with Clients (Example: Claude Desktop)

To use this server with a client like Claude Desktop, you need to add it to the client's configuration file.

  1. Ensure c7-mcp-server is installed globally (npm install -g c7-mcp-server) or linked locally (npm link).

  2. Edit the client's configuration file (e.g., claude_desktop_config.json):

    • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
    • Windows: %APPDATA%\Claude\claude_desktop_config.json
  3. Add an entry under mcpServers:

    {
      "mcpServers": {
        "context7": {
          "command": "c7-mcp-server", // The command name installed/linked
          "args": [] // No arguments needed by default for stdio transport
          // "env": {} // Add environment variables if needed
        }
        // ... other servers ...
      }
    }
    
  4. Restart the client application (e.g., Claude Desktop). The client will now launch c7-mcp-server in the background and connect to it.

Testing with MCP Inspector

You can test the server directly using the MCP Inspector:

  1. Make sure c7-mcp-server is installed globally or linked locally.

  2. Run the inspector, telling it to execute your server command:

    npx @modelcontextprotocol/inspector c7-mcp-server
    
  3. The Inspector UI will open in your browser, connected to your server. Use the "Tools" and "Resources" tabs to interact with the server's capabilities. Check the "Notifications" pane for logs/errors from the server.

MCP Capabilities Details

Tools

  • c7_query

    • Description: Query the Context7 API for information on a specific topic within a project.
    • Parameters (object):
      • projectname (string, required): The exact project name (e.g., nextjs).
      • query (string, required): The topic/question to query.
      • format (enum: "txt" | "json", optional, default: "txt"): Output format.
      • tokens (number, optional): Maximum number of tokens for the response.
    • Returns: Text content containing the result from Context7 (either plain text or a JSON string).
  • c7_search

    • Description: Search for available Context7 projects by keyword.
    • Parameters (object):
      • term (string, required): The keyword to search for in project titles.
    • Returns: Text content containing a JSON string array of matching projects, each with title and name (the usable project name).
  • c7_info

    • Description: Display metadata about a specific Context7 project.
    • Parameters (object):
      • projectname (string, required): The exact project name.
    • Returns: Text content containing a JSON string representation of the project's full metadata.

Resources

  • c7_projects_list
    • URI: context7://projects/list
    • Description: Provides a list of all available and valid Context7 projects.
    • Returns: Content with mimeType: "application/json" containing a JSON string array of project objects.

Development

  1. Clone the repository.
  2. Install dependencies (npm install or bun install).
  3. Build the server (npm run build). Use npm run dev for automatic rebuild and start during development.
  4. Link for local testing (npm link or bun link).
  5. Test using the MCP Inspector (npx @modelcontextprotocol/inspector c7-mcp-server).
  6. Make your changes in the src/ directory and rebuild.

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
MCP Package Docs Server

MCP Package Docs Server

Facilitates LLMs to efficiently access and fetch structured documentation for packages in Go, Python, and NPM, enhancing software development with multi-language support and performance optimization.

Featured
Local
TypeScript
Claude Code MCP

Claude Code MCP

An implementation of Claude Code as a Model Context Protocol server that enables using Claude's software engineering capabilities (code generation, editing, reviewing, and file operations) through the standardized MCP interface.

Featured
Local
JavaScript
@kazuph/mcp-taskmanager

@kazuph/mcp-taskmanager

Model Context Protocol server for Task Management. This allows Claude Desktop (or any MCP client) to manage and execute tasks in a queue-based system.

Featured
Local
JavaScript
Linear MCP Server

Linear MCP Server

Enables interaction with Linear's API for managing issues, teams, and projects programmatically through the Model Context Protocol.

Featured
JavaScript
mermaid-mcp-server

mermaid-mcp-server

A Model Context Protocol (MCP) server that converts Mermaid diagrams to PNG images.

Featured
JavaScript
Jira-Context-MCP

Jira-Context-MCP

MCP server to provide Jira Tickets information to AI coding agents like Cursor

Featured
TypeScript
Linear MCP Server

Linear MCP Server

A Model Context Protocol server that integrates with Linear's issue tracking system, allowing LLMs to create, update, search, and comment on Linear issues through natural language interactions.

Featured
JavaScript
Sequential Thinking MCP Server

Sequential Thinking MCP Server

This server facilitates structured problem-solving by breaking down complex issues into sequential steps, supporting revisions, and enabling multiple solution paths through full MCP integration.

Featured
Python