// may the 4th be with you⚔️
ai-ml

Context7

by upstash

Boost your AI code assistant with Context7: inject real-time API documentation from OpenAPI specification sources into y

Discover Context7 MCP, a powerful tool that injects fresh, version-specific code docs and examples from official sources directly into your AI prompts. Say goodbye to outdated or incorrect API info—Context7 ensures your language model answers come with the latest coding references. By simply adding "use context7" to your prompt, you get precise, reliable library documentation and working code snippets without leaving your editor. Designed for smooth integration with many MCP-compatible clients and IDEs, it enhances AI coding assistants with accurate, real-time context that boosts developer productivity and confidence.

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Version-specific documentationOfficial sources onlyWorks with MCP-compatible editors

best for

  • / Developers using AI coding assistants
  • / Getting accurate API documentation during development
  • / Ensuring code examples match current library versions

capabilities

  • / Resolve package names to library IDs
  • / Query current documentation for any programming library
  • / Retrieve working code examples from official sources
  • / Add fresh context to AI coding prompts

what it does

Injects up-to-date documentation and code examples from official sources directly into AI prompts. Ensures your coding assistant has accurate, version-specific library information instead of outdated training data.

about

Context7 is an official MCP server published by upstash that provides AI assistants with tools and capabilities via the Model Context Protocol. Boost your AI code assistant with Context7: inject real-time API documentation from OpenAPI specification sources into y It is categorized under ai ml. This server exposes 2 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install Context7 in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.

license

MIT

Context7 is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Cover

Install MCP Server

Context7 MCP - Up-to-date Code Docs For Any Prompt

Website smithery badge NPM Version MIT licensed

繁體中文 简体中文 日本語 한국어 문서 Documentación en Español Documentation en Français Documentação em Português (Brasil) Documentazione in italiano Dokumentasi Bahasa Indonesia Dokumentation auf Deutsch Документация на русском языке Українська документація Türkçe Doküman Arabic Documentation Tiếng Việt

❌ Without Context7

LLMs rely on outdated or generic information about the libraries you use. You get:

  • ❌ Code examples are outdated and based on year-old training data
  • ❌ Hallucinated APIs that don't even exist
  • ❌ Generic answers for old package versions

✅ With Context7

Context7 MCP pulls up-to-date, version-specific documentation and code examples straight from the source — and places them directly into your prompt.

Add use context7 to your prompt (or set up a rule to auto-invoke):

Create a Next.js middleware that checks for a valid JWT in cookies
and redirects unauthenticated users to `/login`. use context7
Configure a Cloudflare Worker script to cache
JSON API responses for five minutes. use context7

Context7 fetches up-to-date code examples and documentation right into your LLM's context. No tab-switching, no hallucinated APIs that don't exist, no outdated code generation.

Installation

[!NOTE] API Key Recommended: Get a free API key at context7.com/dashboard for higher rate limits.

<details> <summary><b>Install in Cursor</b></summary>

Go to: Settings -> Cursor Settings -> MCP -> Add new global MCP server

Pasting the following configuration into your Cursor ~/.cursor/mcp.json file is the recommended approach. You may also install in a specific project by creating .cursor/mcp.json in your project folder. See Cursor MCP docs for more info.

Since Cursor 1.0, you can click the install button below for instant one-click installation.

Cursor Remote Server Connection

Install MCP Server

{
  "mcpServers": {
    "context7": {
      "url": "https://mcp.context7.com/mcp",
      "headers": {
        "CONTEXT7_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

Cursor Local Server Connection

Install MCP Server

{
  "mcpServers": {
    "context7": {
      "command": "npx",
      "args": ["-y", "@upstash/context7-mcp", "--api-key", "YOUR_API_KEY"]
    }
  }
}
</details> <details> <summary><b>Install in Claude Code</b></summary>

Run this command. See Claude Code MCP docs for more info.

Claude Code Local Server Connection

claude mcp add --scope user context7 -- npx -y @upstash/context7-mcp --api-key YOUR_API_KEY

Claude Code Remote Server Connection

claude mcp add --scope user --header "CONTEXT7_API_KEY: YOUR_API_KEY" --transport http context7 https://mcp.context7.com/mcp

Remove --scope user to install for the current project only.

</details> <details> <summary><b>Install in Opencode</b></summary>

Add this to your Opencode configuration file. See Opencode MCP docs for more info.

Opencode Remote Server Connection

"mcp": {
  "context7": {
    "type": "remote",
    "url": "https://mcp.context7.com/mcp",
    "headers": {
      "CONTEXT7_API_KEY": "YOUR_API_KEY"
    },
    "enabled": true
  }
}

Opencode Local Server Connection

{
  "mcp": {
    "context7": {
      "type": "local",
      "command": ["npx", "-y", "@upstash/context7-mcp", "--api-key", "YOUR_API_KEY"],
      "enabled": true
    }
  }
}
</details> <details> <summary><b>Install with ctx7 setup</b></summary>

Set up Context7 MCP for your coding agents:

npx ctx7 setup

Authenticates via OAuth, generates an API key, and configures the MCP server and rule for your agents. Use --cursor, --claude, or --opencode to target a specific agent.

</details>

Other IDEs and Clients →

<details> <summary><b>OAuth Authentication</b></summary>

Context7 MCP server supports OAuth 2.0 authentication for MCP clients that implement the MCP OAuth specification.

To use OAuth, change the endpoint from /mcp to /mcp/oauth in your client configuration:

- "url": "https://mcp.context7.com/mcp"
+ "url": "https://mcp.context7.com/mcp/oauth"

OAuth is only available for remote HTTP connections. For local MCP connections using stdio transport, use API key authentication instead.

</details>

Important Tips

Add a Rule

To avoid typing use context7 in every prompt, add a rule to your MCP client to automatically invoke Context7 for code-related questions:

  • Cursor: Cursor Settings > Rules
  • Claude Code: CLAUDE.md
  • Or the equivalent in your MCP client

Example rule:

Always use Context7 MCP when I need library/API documentation, code generation, setup or configuration steps without me having to explicitly ask.

Use Library Id

If you already know exactly which library you want to use, add its Context7 ID to your prompt. That way, Context7 MCP server can skip the library-matching step and directly continue with retrieving docs.

Implement basic authentication with Supabase. use library /supabase/supabase for API and docs.

The slash syntax tells the MCP tool exactly which library to load docs for.

Specify a Version

To get documentation for a specific library version, just mention the version in your prompt:

How do I set up Next.js 14 middleware? use context7

Context7 will automatically match the appropriate version.

Available Tools

Context7 MCP provides the following tools that LLMs can use:

  • resolve-library-id: Resolves a general library name into a Context7-compatible library ID.

    • query (required): The user's question or task (used to rank results by relevance)
    • libraryName (required): The name of the library to search for
  • query-docs: Retrieves documentation for a library using a Context7-compatible library ID.

    • libraryId (required): Exact Context7-compatible library ID (e.g., /mongodb/docs, /vercel/next.js)
    • query (required): The question or task to get relevant documentation for

More Documentation

Disclaimer

1- Context7 projects are community-contributed and while we strive to maintain high quality, we cannot guarantee the accuracy, completeness, or security of all library documentation. Projects listed in Context7 are developed and maintained by their respective owners, not by Context7. If you encounter any suspicious, inappropriate, or potentially harmful content, please use the "Report" button on the project page to notify us immediately. We take all reports seriously and will review flagged content promptly to maintain the integrity and safety of our platform. By using Context7, you acknowledge that you do so at your own discretion and risk.

2- This repository hosts the MCP server’s source code. The supporting components — API backend, parsing engine, and crawling engine — are private and not part of this repository.

🤝 Connect with Us

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FAQ

What is the Context7 MCP server?
Context7 is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Context7?
This profile displays 39 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.

Discussion

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MCP server reviews

Ratings

4.839 reviews
  • Pratham Ware· Dec 28, 2024

    According to our notes, Context7 benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Dhruvi Jain· Dec 20, 2024

    Context7 reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Kofi Khan· Dec 20, 2024

    Context7 has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Yusuf Martin· Dec 12, 2024

    According to our notes, Context7 benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Kofi Ramirez· Dec 12, 2024

    I recommend Context7 for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Chinedu Bhatia· Dec 4, 2024

    Context7 reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Yusuf Yang· Nov 23, 2024

    I recommend Context7 for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Oshnikdeep· Nov 11, 2024

    I recommend Context7 for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Olivia Menon· Nov 3, 2024

    Context7 reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Olivia Verma· Oct 22, 2024

    Useful MCP listing: Context7 is the kind of server we cite when onboarding engineers to host + tool permissions.

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