Context7 MCP Server
Provides up-to-date library documentation by resolving library names and fetching docs via the Context7 API.
README
Context7 MCP Server (Python)
A Python MCP server for the Context7 API, providing up-to-date library documentation. Built with the Dedalus MCP framework.
Features
- resolve_library_id - Resolve a library name to its Context7 ID
- get_library_docs - Fetch documentation for a specific library
Installation
# Clone the repository
git clone https://github.com/dedalus-labs/context7-mcp-python.git
cd context7-mcp-python
# Install dependencies with uv
uv sync
Configuration
Create a .env file with your Context7 API key:
CONTEXT7_API_KEY=your_api_key_here
Get your API key from Context7.
Usage
Running the Server
uv run python src/main.py
The server will start on http://localhost:3012/mcp.
Testing with the Client
uv run python src/client.py
Tools
resolve_library_id
Resolve a general library name to a Context7-compatible library ID.
Parameters:
library_name(required): Library name to search for (e.g., "react", "nextjs", "postgres")
Returns: Matching libraries with their Context7 IDs
get_library_docs
Fetch up-to-date documentation for a library from Context7.
Parameters:
library_id(required): Exact Context7 library ID (e.g., "/mongodb/docs", "/vercel/next.js")topic(optional): Focus on a specific topic within the librarytokens(optional): Max tokens of documentation (default: 10000)
Returns: Library documentation content
License
MIT
Recommended Servers
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.
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.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.