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context7

MCP.Pizza Chef: upstash

Context7 MCP Server provides real-time, up-to-date code documentation tailored for large language models and AI-powered code editors. It enables seamless integration of live code context into AI workflows, improving code understanding, navigation, and generation. This server supports multiple languages and offers multilingual documentation access, enhancing developer productivity and AI-assisted coding accuracy.

Use This MCP server To

Provide live code documentation to AI code editors Enable LLMs to access up-to-date project code context Support multilingual code documentation retrieval Improve AI-assisted code completion with real-time docs Integrate with IDEs for enhanced code navigation Generate accurate code explanations from current codebase Facilitate AI-driven code review with contextual info

README

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

Website smithery badge Install in VS Code (npx)

繁體中文 簡體中文 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 Türkçe Doküman Arabic Documentation

❌ 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LLMs rely on outdated or generic information about the libraries you use.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  • ❌ Code examples are outdated and based on year-old training data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 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 in Cursor:

Create a basic Next.js project with app router. use context7
Create a script to delete the rows where the city is "" given PostgreSQL credentials. use context7

Context7 fetches up-to-date code examples and documentation right into your LLM's context.

  • 1️⃣ Write your prompt naturally
  • 2️⃣ Tell the LLM to use context7
  • 3️⃣ Get working code answers

No tab-switching, no hallucinated APIs that don't exist, no outdated code generations.

📚 Adding Projects

Check out our project addition guide to learn how to add (or update) your favorite libraries to Context7.

🛠️ Installation

Requirements

  • Node.js >= v18.0.0
  • Cursor, Windsurf, Claude Desktop or another MCP Client
Installing via Smithery

To install Context7 MCP Server for any client automatically via Smithery:

npx -y @smithery/cli@latest install @upstash/context7-mcp --client <CLIENT_NAME> --key <YOUR_SMITHERY_KEY>

You can find your Smithery key in the Smithery.ai webpage.

Install in Cursor

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.

Cursor Remote Server Connection

{
  "mcpServers": {
    "context7": {
      "url": "https://mcp.context7.com/mcp"
    }
  }
}

Cursor Local Server Connection

{
  "mcpServers": {
    "context7": {
      "command": "npx",
      "args": ["-y", "@upstash/context7-mcp"]
    }
  }
}
Alternative: Use Bun
{
  "mcpServers": {
    "context7": {
      "command": "bunx",
      "args": ["-y", "@upstash/context7-mcp"]
    }
  }
}
Alternative: Use Deno
{
  "mcpServers": {
    "context7": {
      "command": "deno",
      "args": ["run", "--allow-env", "--allow-net", "npm:@upstash/context7-mcp"]
    }
  }
}
Install in Windsurf

Add this to your Windsurf MCP config file. See Windsurf MCP docs for more info.

Windsurf Remote Server Connection

{
  "mcpServers": {
    "context7": {
      "serverUrl": "https://mcp.context7.com/sse"
    }
  }
}

Windsurf Local Server Connection

{
  "mcpServers": {
    "context7": {
      "command": "npx",
      "args": ["-y", "@upstash/context7-mcp"]
    }
  }
}
Install in VS Code

Install in VS Code (npx) Install in VS Code Insiders (npx)

Add this to your VS Code MCP config file. See VS Code MCP docs for more info.

VS Code Remote Server Connection

"mcp": {
  "servers": {
    "context7": {
      "type": "http",
      "url": "https://mcp.context7.com/mcp"
    }
  }
}

VS Code Local Server Connection

"mcp": {
  "servers": {
    "context7": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@upstash/context7-mcp"]
    }
  }
}
Install in Zed

It can be installed via Zed Extensions or you can add this to your Zed settings.json. See Zed Context Server docs for more info.

{
  "context_servers": {
    "Context7": {
      "command": {
        "path": "npx",
        "args": ["-y", "@upstash/context7-mcp"]
      },
      "settings": {}
    }
  }
}
Install in Claude Code

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

Claude Code Remote Server Connection

claude mcp add --transport sse context7 https://mcp.context7.com/sse

Claude Code Local Server Connection

claude mcp add context7 -- npx -y @upstash/context7-mcp
Install in Claude Desktop

Add this to your Claude Desktop claude_desktop_config.json file. See Claude Desktop MCP docs for more info.

{
  "mcpServers": {
    "Context7": {
      "command": "npx",
      "args": ["-y", "@upstash/context7-mcp"]
    }
  }
}
Install in BoltAI

Open the "Settings" page of the app, navigate to "Plugins," and enter the following JSON:

{
  "mcpServers": {
    "context7": {
      "command": "npx",
      "args": ["-y", "@upstash/context7-mcp"]
    }
  }
}

Once saved, enter in the chat get-library-docs followed by your Context7 documentation ID (e.g., get-library-docs /nuxt/ui). More information is available on BoltAI's Documentation site. For BoltAI on iOS, see this guide.

Using Docker

If you prefer to run the MCP server in a Docker container:

  1. Build the Docker Image:

    First, create a Dockerfile in the project root (or anywhere you prefer):

    Click to see Dockerfile content
    FROM node:18-alpine
    
    WORKDIR /app
    
    # Install the latest version globally
    RUN npm install -g @upstash/context7-mcp
    
    # Expose default port if needed (optional, depends on MCP client interaction)
    # EXPOSE 3000
    
    # Default command to run the server
    CMD ["context7-mcp"]

    Then, build the image using a tag (e.g., context7-mcp). Make sure Docker Desktop (or the Docker daemon) is running. Run the following command in the same directory where you saved the Dockerfile:

    docker build -t context7-mcp .
  2. Configure Your MCP Client:

    Update your MCP client's configuration to use the Docker command.

    Example for a cline_mcp_settings.json:

    {
      "mcpServers": {
        "Сontext7": {
          "autoApprove": [],
          "disabled": false,
          "timeout": 60,
          "command": "docker",
          "args": ["run", "-i", "--rm", "context7-mcp"],
          "transportType": "stdio"
        }
      }
    }

    Note: This is an example configuration. Please refer to the specific examples for your MCP client (like Cursor, VS Code, etc.) earlier in this README to adapt the structure (e.g., mcpServers vs servers). Also, ensure the image name in args matches the tag used during the docker build command.

Install in Windows

The configuration on Windows is slightly different compared to Linux or macOS (Cline is used in the example). The same principle applies to other editors; refer to the configuration of command and args.

{
  "mcpServers": {
    "github.com/upstash/context7-mcp": {
      "command": "cmd",
      "args": ["/c", "npx", "-y", "@upstash/context7-mcp@latest"],
      "disabled": false,
      "autoApprove": []
    }
  }
}
Install in Augment Code

To configure Context7 MCP in Augment Code, follow these steps:

  1. Press Cmd/Ctrl Shift P or go to the hamburger menu in the Augment panel
  2. Select Edit Settings
  3. Under Advanced, click Edit in settings.json
  4. Add the server configuration to the mcpServers array in the augment.advanced object
"augment.advanced": {
    "mcpServers": [
        {
            "name": "context7",
            "command": "npx",
            "args": ["-y", "@upstash/context7-mcp"]
        }
    ]
}

Once the MCP server is added, restart your editor. If you receive any errors, check the syntax to make sure closing brackets or commas are not missing.

Install in Roo Code

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

Roo Code Remote Server Connection

{
  "mcpServers": {
    "context7": {
      "type": "streamable-http",
      "url": "https://mcp.context7.com/mcp"
    }
  }
}

Roo Code Local Server Connection

{
  "mcpServers": {
    "context7": {
      "command": "npx",
      "args": ["-y", "@upstash/context7-mcp"]
    }
  }
}

🔧 Environment Variables

The Context7 MCP server supports the following environment variables:

  • DEFAULT_MINIMUM_TOKENS: Set the minimum token count for documentation retrieval (default: 10000)

Example configuration with environment variables:

{
  "mcpServers": {
    "context7": {
      "command": "npx",
      "args": ["-y", "@upstash/context7-mcp"],
      "env": {
        "DEFAULT_MINIMUM_TOKENS": "6000"
      }
    }
  }
}

🔨 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.

    • libraryName (required): The name of the library to search for
  • get-library-docs: Fetches documentation for a library using a Context7-compatible library ID.

    • context7CompatibleLibraryID (required): Exact Context7-compatible library ID (e.g., /mongodb/docs, /vercel/next.js)
    • topic (optional): Focus the docs on a specific topic (e.g., "routing", "hooks")
    • tokens (optional, default 10000): Max number of tokens to return. Values less than the configured DEFAULT_MINIMUM_TOKENS value or the default value of 10000 are automatically increased to that value.

💻 Development

Clone the project and install dependencies:

bun i

Build:

bun run build
Local Configuration Example
{
  "mcpServers": {
    "context7": {
      "command": "npx",
      "args": ["tsx", "/path/to/folder/context7-mcp/src/index.ts"]
    }
  }
}
Testing with MCP Inspector
npx -y @modelcontextprotocol/inspector npx @upstash/context7-mcp

🚨 Troubleshooting

Module Not Found Errors

If you encounter ERR_MODULE_NOT_FOUND, try using bunx instead of npx:

{
  "mcpServers": {
    "context7": {
      "command": "bunx",
      "args": ["-y", "@upstash/context7-mcp"]
    }
  }
}

This often resolves module resolution issues in environments where npx doesn't properly install or resolve packages.

ESM Resolution Issues

For errors like Error: Cannot find module 'uriTemplate.js', try the --experimental-vm-modules flag:

{
  "mcpServers": {
    "context7": {
      "command": "npx",
      "args": ["-y", "--node-options=--experimental-vm-modules", "@upstash/context7-mcp@1.0.6"]
    }
  }
}
TLS/Certificate Issues

Use the --experimental-fetch flag to bypass TLS-related problems:

{
  "mcpServers": {
    "context7": {
      "command": "npx",
      "args": ["-y", "--node-options=--experimental-fetch", "@upstash/context7-mcp"]
    }
  }
}
General MCP Client Errors
  1. Try adding @latest to the package name
  2. Use bunx as an alternative to npx
  3. Consider using deno as another alternative
  4. Ensure you're using Node.js v18 or higher for native fetch support

⚠️ Disclaimer

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.

🤝 Connect with Us

Stay updated and join our community:

  • 📢 Follow us on X for the latest news and updates
  • 🌐 Visit our Website
  • 💬 Join our Discord Community

📺 Context7 In Media

  • Better Stack: "Free Tool Makes Cursor 10x Smarter"
  • Cole Medin: "This is Hands Down the BEST MCP Server for AI Coding Assistants"
  • Income Stream Surfers: "Context7 + SequentialThinking MCPs: Is This AGI?"
  • Julian Goldie SEO: "Context7: New MCP AI Agent Update"
  • JeredBlu: "Context 7 MCP: Get Documentation Instantly + VS Code Setup"
  • Income Stream Surfers: "Context7: The New MCP Server That Will CHANGE AI Coding"
  • AICodeKing: "Context7 + Cline & RooCode: This MCP Server Makes CLINE 100X MORE EFFECTIVE!"
  • Sean Kochel: "5 MCP Servers For Vibe Coding Glory (Just Plug-In & Go)"

⭐ Star History

Star History Chart

📄 License

MIT

context7 FAQ

How do I install the Context7 MCP Server?
You can install it via VS Code using the provided npx command or from the GitHub repository.
Does Context7 support multiple programming languages?
Yes, Context7 supports up-to-date documentation for various programming languages to assist diverse codebases.
Can Context7 provide documentation in languages other than English?
Yes, it offers multilingual documentation support including Chinese, Korean, Spanish, French, and Portuguese.
How does Context7 integrate with AI code editors?
It exposes live code documentation via MCP protocol, allowing AI editors to fetch real-time context for better code assistance.
Is Context7 compatible with different LLM providers?
Yes, it is provider-agnostic and works with OpenAI, Anthropic Claude, Google Gemini, and others.
Can Context7 handle large codebases efficiently?
Yes, it is designed to scale and provide fast, relevant documentation even for large projects.
What kind of updates does Context7 provide?
It continuously updates code documentation to reflect the latest changes in the codebase in real time.
Is there support for community contributions or translations?
Yes, the project supports multiple languages and encourages community contributions for documentation and localization.