Provides up-to-date, version-specific code documentation and examples for LLMs and AI coding assistants via CLI and MCP.
Context7 is a platform that provides up-to-date, version-specific code documentation and examples to LLMs and AI coding assistants. It solves the problem of AI assistants generating code based on outdated or hallucinated API information by fetching current documentation directly from source and injecting it into the prompt context.
Developers using AI coding assistants like Cursor, Claude Code, or OpenCode who need accurate, current library documentation and examples during their workflow.
Developers choose Context7 because it ensures their AI assistant has access to the same precise, version-aware information they would find in official docs, dramatically reducing errors from outdated training data and eliminating manual tab-switching.
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors
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Pulls up-to-date, version-specific docs and examples directly from source repositories, ensuring AI has current information as described in the key features.
Supports both CLI with skills and MCP server, allowing use with various AI agents and manual configurations, per the installation and mode descriptions.
Enables specifying exact library IDs and versions in prompts, reducing errors from outdated data, as shown in the 'Use Library Id' and 'Specify a Version' tips.
Compatible with over 30 MCP clients through manual setup, extending utility beyond major agents like Cursor and Claude Code, as noted in the README.
The API backend, parsing engine, and crawling engine are private and not open-source, limiting transparency and community auditability, as stated in the disclaimer.
Documentation is community-contributed with no guarantee of accuracy, risking misinformation in AI prompts, as warned in the disclaimer section.
Requires an API key for higher rate limits, introducing potential costs and reliance on Upstash's service availability, mentioned in the installation note.
For non-major clients, manual configuration is needed via MCP URLs and headers, which can be time-consuming compared to automated CLI setups.