Context7
Provides up-to-date, version-specific documentation and code examples directly to Large Language Models (LLMs) to enhance code generation accuracy.
About
Context7 is an innovative Model Context Protocol (MCP) server designed to overcome the limitations of AI code generation by providing LLMs with current and accurate information. It integrates directly with AI coding assistants like Cursor, VS Code, and Claude, fetching real-time, version-specific library documentation and code examples. This ensures that generated code is always up-to-date, prevents the hallucination of non-existent APIs, and delivers precise, working solutions by enriching the LLM's context during code generation.
Key Features
- Integrates seamlessly with popular AI coding assistants (e.g., Cursor, VS Code, Zed, Claude).
- Prevents outdated code generation and hallucinated API responses.
- Supplies real-time code examples directly to LLM prompts.
- Provides up-to-date, version-specific code documentation.
- Offers granular control over documentation retrieval via tools like `get-library-docs`.
- 2 GitHub stars
Use Cases
- Enhancing AI code generation with current library documentation.
- Preventing hallucinated or outdated API usage in generated code.
- Facilitating learning and development with accurate, version-specific examples.
Sponsored