Context7 Legacy

Context7

NOTE: This repo will be moved to [https://github.com/upstash/context7-mcp](https://github.com/upstash/context7-mcp)

Instant LLM Context for AI Agents and Developers

[](https://context7.com) [](https://github.com/upstash/context7-mcp)

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What is Context7?

Context7 is a robust platform designed to create, manage, and leverage context libraries for Large Language Models (LLMs), AI agents, and developers. It automatically pulls high-quality, targeted code snippets from documentation repositories, delivering them as ready-to-use context for AI systems. Built by the Upstash team, you can enjoy Context7 with confidence knowing it’s backed by proven expertise.

**Key Benefits:** ✅ **Precise Context:** Extracts clean, relevant snippets from up-to-date documentation ✅ **Focused Content:** Includes only code and descriptions—no fluff or filler ✅ **Free Tier:** Up to 50 queries per day for personal use at no cost ✅ **Broad Compatibility:** Works seamlessly with MCP servers (e.g., Cursor, Windsurf) ✅ **Fast Integration:** Generate library-specific context in minutes and embed Context7 links directly into your documentation

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How It Works

Context7 transforms documentation into actionable context through a streamlined pipeline:

1. **Document Parsing**: Supports a variety of formats:

   • Markdown (.md, .mdx)
   • Plain Text (.txt)
   • ReStructuredText (.rst)
   • Jupyter Notebooks (.ipynb)

2. **Context Extraction**: Uses LLM models to pull code snippets and craft concise, descriptive metadata.

3. **Embedding Generation**: Converts snippets and metadata into vector embeddings for fast, accurate retrieval.

4. **Contextual Retrieval**: Delivers relevant code examples instantly via API or web interface.

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Using Context7

Generate Context for Your Library

1. Add your library to Cont