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Provides up-to-date, version-specific documentation for LLMs and AI code editors.

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TL;DR - Context7 MCP

  • Provides up-to-date, version-specific documentation for LLMs.
  • Integrates with AI code editors to improve code generation and understanding.
  • Reduces AI hallucinations by supplying accurate source information.
Pricing: Free plan available
Best for: Growing teams

What Users Say About Context7 MCP

Context7 is one of the most-installed MCP servers in 2026 — it injects current, version-specific library documentation into your AI's context, so Claude/Cursor/Copilot stop writing code against training-data APIs. Users love the zero-friction `use context7` prompt trigger. The main complaints: library coverage is community-contributed (no completeness guarantee), and the Pro plan at $10/seat/mo is steep for teams that want it everywhere.

Highlights

  • Eliminates the #1 AI coding failure mode — outdated library APIs
  • Just add `use context7` to any prompt; zero workflow change
  • Automatic version matching pulls docs for your installed version
  • Free tier: 1,000 API calls/month + 20 bonus calls/day at the limit
  • Two simple tools keep the context window lean

Limitations

  • Library coverage is community-contributed with no completeness guarantee
  • Backend is proprietary — you can't self-host the indexing engine
  • Pro at $10/seat/mo adds up for teams wanting it on every dev
  • Niche or internal libraries aren't indexed
  • Some edge-case frameworks return incomplete results

Best for: Developers working with fast-moving frameworks (Next.js, React, Prisma, Tailwind, SvelteKit) who are tired of AI hallucinating outdated APIs. One of the 'install this first' MCP servers for anyone using Claude Code, Cursor, or Copilot Agent.

Editorial synthesis from industry coverage, product docs, and early user reports

Pros & Cons

Pros

  • Eliminates outdated or generic information for LLMs
  • Reduces AI hallucinations and provides accurate code examples
  • Offers a free plan for individual developers
  • Integrates with popular AI coding tools and LLMs
  • Provides robust security features for enterprise users

Cons

  • Free plan has limited API calls and no private repo access
  • Parsing private repositories incurs additional costs on paid plans
  • Excess API calls on Pro plan are billed extra

Preview

Key Features

Up-to-date documentation retrievalVersion-specific documentationReal code examples from sourcePublic repository accessPrivate repository accessTeam collaborationAccess controlOAuth 2.0 support

Pricing Plans

Free

Free

  • 1,000 API calls/month
  • Public library documentation
  • OAuth 2.0 authentication
  • 20 bonus calls/day when limit reached

Pro

$10/seat/mo

  • 5,000 API calls/seat/month
  • Private library support
  • Team collaboration
  • $10 per 1,000 overage calls

Enterprise

Custom

  • SOC-2 and GDPR compliance
  • SSO and self-hosted options
  • Custom rate limits
  • Dedicated support

What is Context7 MCP?

Editorial review
Context7 addresses the common problem of Large Language Models (LLMs) and AI code editors relying on outdated or generic information when assisting with coding tasks. It pulls current, relevant documentation and code examples directly from source repositories, ensuring that the AI tools have access to accurate, version-specific information. This significantly reduces hallucinations, provides working code examples, and delivers concise, relevant answers tailored to a developer's specific technology stack. This tool is designed for individual developers, professional teams, and enterprises who use AI code editors or LLMs like Cursor and Claude for programming. By integrating Context7, users can enhance the accuracy and reliability of their AI assistants, leading to better code generation, faster debugging, and reduced time spent verifying AI responses. It helps developers avoid frustrating interactions with AI that doesn't fully understand their project's dependencies and versions.

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Context7 MCP FAQ

What problem does Context7 MCP solve?

AI models are trained on outdated documentation. When you ask about a library, the AI might reference deprecated APIs. Context7 MCP pulls live, up-to-date docs directly into your prompt context so the AI generates code against the current version.

How does Context7 MCP fetch documentation?

Context7 maintains a pre-indexed library of documentation for thousands of packages. When your agent calls resolve-library-id and then get-library-docs, it returns relevant, chunked documentation sections — not entire doc sites.

Is Context7 MCP free?

Yes, the free tier includes 1,000 API calls per month with no credit card required. For heavier use, Upstash offers paid plans. The MCP server itself is open source.

Which libraries does Context7 support?

Context7 indexes documentation for thousands of popular libraries across most languages — React, Next.js, Python, Rust, Go, and more. You can search for any library using resolve-library-id to check availability.

How do I install Context7 MCP?

Add npx -y @upstash/context7-mcp to your MCP client config. No API key is needed for the free tier. It works with Claude Desktop, Cursor, Windsurf, and any other MCP-compatible client.

Source: context7.com

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