Context7
Up-to-date library docs pulled directly into your AI context.
What it does
Retrieves up-to-date, version-specific documentation for popular libraries and injects it into the model context before answering coding questions.
Why it matters
Models hallucinate outdated APIs constantly. Context7 eliminates this by grounding every answer in real, current documentation.
Best for
- Library API lookup
- Framework usage patterns
- Version-specific code examples
- Reducing AI hallucinations
- Documentation Q&A
Not ideal for
- Internal/private library docs
- General reasoning tasks
- Non-coding questions
When to use it
When asking the AI about library APIs, framework patterns, or any third-party tool where accuracy and version-specificity matter.
When not to use it
For general reasoning tasks or when working with internal, undocumented libraries not in the Context7 index.
Key features
- Real-time documentation fetch
- Version-specific results
- Wide library coverage
- Built for coding workflows
- Reduces API hallucinations
Frequently asked questions
Which libraries does Context7 support?
Thousands of popular open-source libraries including React, Next.js, Supabase, Tailwind, and most npm/PyPI packages.
Does it cost money?
Context7 is free to use. No API key required for basic usage.
Install
$ npx -y @upstash/context7-mcpScores
Details
- Pricing
- free
- Setup time
- 3 min
- Complexity
- Low
Works with
Alternatives
- Fetch →
Retrieve web pages and convert them to clean markdown.
- Brave Search →
Real-time web search with privacy-focused results.
More Coding MCPs
Other tools in the same category worth evaluating.
Manage Linear issues, projects, and cycles from AI context.
Exploring Top MCPs for Coding? See all Coding MCPs →