Context 7
Visit ProjectContext7 MCP – up-to-date docs for any Cursor prompt.
Visit ProjectCategory
Tags
What is Context7 MCP?
Context7 MCP is a Model Context Protocol (MCP) server that provides up-to-date documentation and code examples for various libraries and frameworks directly within your AI coding assistant.
How to use Context7 MCP?
- Install Context7 MCP: Choose your preferred AI coding assistant (e.g., Cursor, VS Code, Cline) and follow the installation instructions specific to that platform.
- Use the
use context7
command: In your prompt, adduse context7
to get up-to-date documentation and code examples. - Get context-aware responses: Context7 MCP fetches relevant documentation and code examples based on your prompt.
Key features of Context7 MCP?
- Provides up-to-date, version-specific documentation and code examples
- Integrates seamlessly with popular AI coding assistants
- Eliminates the need for tab-switching or searching for documentation
- Reduces hallucinations and outdated code suggestions
Use cases of Context7 MCP?
- Generating accurate, up-to-date code examples for library functions and APIs
- Creating new projects with the correct and current configuration
- Debugging and troubleshooting code issues with the latest documentation
- Learning new libraries and frameworks with context-aware explanations
FAQ from Context7 MCP?
- What is the difference between Context7 MCP and other MCP servers?
Context7 MCP focuses specifically on providing up-to-date documentation and code examples, while other MCP servers may offer different functionalities like file system access or version control.
- Is Context7 MCP free to use?
Yes, Context7 MCP is free to use.
- How do I add a library to Context7 MCP?
Check out the project addition guide to learn how to add or update your favorite libraries to Context7 MCP.
- What are the system requirements for Context7 MCP?
Node.js >= v18.0.0 and a supported MCP client like Cursor, VS Code, or Cline.
Context7 MCP - Up-to-date Code Docs For Any Prompt
## ❌ Without Context7 LLMs rely on outdated or generic information about the libraries you use. You get: - ❌ Code examples are outdated and based on year-old training data - ❌ Hallucinated APIs don't even exist - ❌ Generic answers for old package versions ## ✅ With Context7 Context7 MCP pulls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: txt Create a basic Next.js project with app router. use context7
txt 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: bash npx -y @smithery/cli@latest install @upstash/context7-mcp --client --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. > Since Cursor 1.0, you can click the install button below for instant one-click installation. #### Cursor Remote Server Connection
json { "mcpServers": { "context7": { "url": "https://mcp.context7.com/mcp" } } }
#### Cursor Local Server Connection
json { "mcpServers": { "context7": { "command": "npx", "args": ["-y", "@upstash/context7-mcp"] } } }
Alternative: Use Bun
json { "mcpServers": { "context7": { "command": "bunx", "args": ["-y", "@upstash/context7-mcp"] } } }
Alternative: Use Deno
json { "mcpServers": { "context7": { "command": "deno", "args": ["run", "--allow-env=NO_DEPRECATION,TRACE_DEPRECATION", "--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 json { "mcpServers": { "context7": { "serverUrl": "https://mcp.context7.com/sse" } } }
#### Windsurf Local Server Connection json { "mcpServers": { "context7": { "command": "npx", "args": ["-y", "@upstash/context7-mcp"] } } }
Install in VS Code
Add this to your VS Code MCP config file. See VS Code MCP docs for more info. #### VS Code Remote Server Connection
json "mcp": { "servers": { "context7": { "type": "http", "url": "https://mcp.context7.com/mcp" } } }
#### VS Code Local Server Connection json "mcp": { "servers": { "context7": { "type": "stdio", "command": "npx", "args": ["-y", "@upstash/context7-mcp"] } } }
Install in Visual Studio 2022 You can configure Context7 MCP in Visual Studio 2022 by following the Visual Studio MCP Servers documentation. Add this to your Visual Studio MCP config file (see the Visual Studio docs for details): json { "mcp": { "servers": { "context7": { "type": "http", "url": "https://mcp.context7.com/mcp" } } } }
Or, for a local server: json { "mcp": { "servers": { "context7": { "type": "stdio", "command": "npx", "args": ["-y", "@upstash/context7-mcp"] } } } }
For more information and troubleshooting, refer to the Visual Studio MCP Servers documentation.
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. json { "context_servers": { "Context7": { "command": { "path": "npx", "args": ["-y", "@upstash/context7-mcp"] }, "settings": {} } } }
Install in Gemini CLI See Gemini CLI Configuration for details. 1. Open the Gemini CLI settings file. The location is ~/.gemini/settings.json
(where ~
is your home directory). 2. Add the following to the mcpServers
object in your settings.json
file: json { "mcpServers": { "context7": { "command": "npx", "args": ["-y", "@upstash/context7-mcp"] } } }
If the mcpServers
object does not exist, create it.
Install in Claude Code Run this command. See Claude Code MCP docs for more info. #### Claude Code Remote Server Connection sh claude mcp add --transport http context7 https://mcp.context7.com/mcp
Or using SSE transport: sh claude mcp add --transport sse context7 https://mcp.context7.com/sse
#### Claude Code Local Server Connection sh 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. json { "mcpServers": { "Context7": { "command": "npx", "args": ["-y", "@upstash/context7-mcp"] } } }
Install in Cline You can easily install Context7 through the Cline MCP Server Marketplace by following these instructions: 1. Open Cline. 1. Click the hamburger menu icon (☰) to enter the MCP Servers section. 2. Use the search bar within the Marketplace tab to find Context7. 3. Click the Install button.
Install in BoltAI Open the "Settings" page of the app, navigate to "Plugins," and enter the following JSON: 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 Dockerfile 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
: bash 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: 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
. json { "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, you can use either the graphical interface or manual configuration. ### A. Using the Augment Code UI 1. Click the hamburger menu. 2. Select Settings. 3. Navigate to the Tools section. 4. Click the + Add MCP button. 5. Enter the following command: npx -y @upstash/context7-mcp@latest
6. Name the MCP: Context7. 7. Click the Add button. Once the MCP server is added, you can start using Context7's up-to-date code documentation features directly within Augment Code. --- ### B. Manual Configuration 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 json { "mcpServers": { "context7": { "type": "streamable-http", "url": "https://mcp.context7.com/mcp" } } }
#### Roo Code Local Server Connection json { "mcpServers": { "context7": { "command": "npx", "args": ["-y", "@upstash/context7-mcp"] } } }
Install in Zencoder To configure Context7 MCP in Zencoder, follow these steps: 1. Go to the Zencoder menu (...) 2. From the dropdown menu, select Agent tools 3. Click on the Add custom MCP 4. Add the name and server configuration from below, and make sure to hit the Install button json { "command": "npx", "args": [ "-y", "@upstash/context7-mcp@latest" ] }
Once the MCP server is added, you can easily continue using it.
Install in Amazon Q Developer CLI Add this to your Amazon Q Developer CLI configuration file. See Amazon Q Developer CLI docs for more details. json { "mcpServers": { "context7": { "command": "npx", "args": ["-y", "@upstash/context7-mcp@latest"] } } }
Install in Qodo Gen See Qodo Gen docs for more details. 1. Open Qodo Gen chat panel in VSCode or IntelliJ. 2. Click Connect more tools. 3. Click + Add new MCP. 4. Add the following configuration: json { "mcpServers": { "context7": { "url": "https://mcp.context7.com/mcp" } } }
Install in JetBrains AI Assistant See JetBrains AI Assistant Documentation for more details. 1. In JetBrains IDEs go to Settings
-> Tools
-> AI Assistant
-> Model Context Protocol (MCP)
2. Click + Add
. 3. Click on Command
in the top-left corner of the dialog and select the As JSON option from the list 4. Add this configuration and click OK
json { "mcpServers": { "context7": { "command": "npx", "args": ["-y", "@upstash/context7-mcp"] } } }
5. Click Apply
to save changes.
Install in Warp See Warp Model Context Protocol Documentation for details. 1. Navigate Settings
> AI
> Manage MCP servers
. 2. Add a new MCP server by clicking the + Add
button. 3. Paste the configuration given below: json { "Context7": { "command": "npx", "args": [ "-y", "@upstash/context7-mcp" ], "env": {}, "working_directory": null, "start_on_launch": true } }
4. Click Save
to apply the changes.
🔨 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 default value of 10000 are automatically increased to 10000. ## 💻 Development Clone the project and install dependencies: bash bun i
Build: bash bun run build
Run the server: bash bun run dist/index.js
### CLI Arguments context7-mcp
accepts the following CLI flags: - --transport
– Transport to use (stdio
by default). - --port
– Port to listen on when using http
or sse
transport (default 3000
). Example with http transport and port 8080: bash bun run dist/index.js --transport http --port 8080
Local Configuration Example json { "mcpServers": { "context7": { "command": "npx", "args": ["tsx", "/path/to/folder/context7-mcp/src/index.ts"] } } }
Testing with MCP Inspector bash 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
: json { "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: json { "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: json { "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