If you're using AI coding assistants like Cursor, Claude Desktop, or VS Code with Copilot, you've probably experienced this: you ask for help with a library, and the AI generates code using APIs that don't exist or patterns that were deprecated years ago.
This happens because AI models are trained on data with cutoff dates. They don't know about the latest library updates.
The Solution: Context7 MCP Server
Context7 MCP Server solves this by providing real-time, version-specific documentation directly to your AI assistant. It supports over 9,000 libraries including React, Next.js, Vue, Django, FastAPI, and many more.
How It Works
Context7 uses the Model Context Protocol (MCP) to connect with your AI coding tool. When you ask about a library, Context7 fetches the current documentation and provides it to the AI, ensuring accurate code generation.
Quick Installation
Install in one command:
# For Cursor
npx @upstash/context7-mcp@latest init --cursor
# For Claude Desktop
npx @upstash/context7-mcp@latest init --claude
# For Windsurf
npx @upstash/context7-mcp@latest init --windsurf
Then restart your editor. That's it!
Why I Recommend Context7
- Free tier available - Works without an API key
- 9,000+ libraries - Covers most popular frameworks
- Easy setup - One command installation
- Developed by Upstash - Reliable edge infrastructure
Resources
Conclusion
If you're tired of debugging AI-generated code that uses non-existent APIs, give Context7 a try. It's free to start and makes a real difference in code accuracy.
Have you tried Context7? Let me know in the comments!
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