Context7 MCP Server

Up-to-date library documentation and code examples via MCP.

TypeScript 5,000 0MIT
View on GitHub

Overview

This MCP server delivers real-time access to comprehensive library documentation and practical code examples directly within your development environment. By leveraging the Model Context Protocol, it bridges the gap between AI assistants and current technical resources, ensuring developers have accurate, up-to-date information at their fingertips without context switching. Built by Upstash, Context7 eliminates outdated documentation issues and accelerates development workflows by providing instantly accessible reference materials.

Context7 supports a diverse range of programming libraries and frameworks, offering both detailed API documentation and ready-to-use code examples across multiple languages. The server maintains current information through continuous updates, ensuring that developers always access the latest versions and best practices. It integrates seamlessly with MCP-compatible platforms, enabling natural language queries about library functionality, parameter usage, and implementation patterns. The TypeScript-based architecture ensures reliable performance and easy integration into modern development stacks.

Developers using MCP-compatible clients such as Claude Desktop, Cursor, and other AI-powered IDEs can leverage Context7 for accelerated learning and implementation. Typical use cases include verifying API parameters, understanding library capabilities, discovering code patterns, and troubleshooting integration issues. This server proves invaluable for teams adopting new technologies, maintaining consistent coding standards across projects, and reducing time spent searching through scattered documentation sources. It supports both experienced developers optimizing workflows and teams onboarding new members.

Installation

npx -y @modelcontextprotocol/server-context7

Compatible Clients

Claude DesktopCursorWindsurf

Related

FAQ

How do I install the Context7 MCP server?
Install via npx or pip depending on the language. Then add the server configuration to your MCP client settings file.
Which AI clients support the Context7 MCP server?
The Context7 MCP server is compatible with Claude Desktop, Cursor, Windsurf. Any MCP-compatible client should work.