context7
Keeps LLM code generation accurate by serving up-to-date documentation, reducing hallucinations and boilerplate errors in AI-assisted development.
Pulls up-to-date, version-specific library documentation and code examples straight from the source into your prompt, so generated code stops relying on stale training data or hallucinated APIs. Works in two modes: a CLI + skill (ctx7 commands, no MCP required) or a Context7 MCP server. Add 'use context7' to a prompt or let the installed skill trigger automatically.
- Auto-complete API calls with current library signatures
- Generate accurate code examples for versioned dependencies
- Reduce context window bloat in multi-file LLM prompts
Keeps LLM code generation accurate by serving up-to-date documentation, reducing hallucinations and boilerplate errors in AI-assisted development.
Engineering teams using Claude or other LLMs for code generation who need real-time API/library reference without manual context injection.
https://github.com/upstash/context7
By upstash
How to Get It
npx ctx7 setup --claude
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
After installing, paste this into Claude:
Help me auto-complete API calls with current library signatures
Trust Signals Auto-scanned
Community Pulse Active
Discussed on Hacker News, Reddit
- Am I missing something with the Context7 MCP hype? — Reddit · 95 pts
- Context7 just massively cut free limits — Reddit · 75 pts
- Do you even need Context7 ? — Reddit · 25 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 60,909 GitHub stars; 132 contributors; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 60,909 GitHub stars; 132 contributors; last commit 0d ago; license MIT.