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

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LLMs rely on outdated or generic information about the libraries you use.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❌ Code examples are outdated and based on year-old training data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

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.

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No tab-switching, no hallucinated APIs that don't exist, no outdated code generations.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, Claude Code, VSCode, Windsurf or another MCP Client
Context7 API Key (Optional for higher rate limits) (Get yours by creating an account at context7.com/dashboard)

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.

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

Cursor Remote Server Connection

*Configuration content*

Cursor Local Server Connection

*Configuration content*

Install in Claude Code

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

Claude Code Remote Server Connection

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

Or using SSE transport:

claude mcp add --transport sse context7 https://mcp.context7.com/sse --header "CONTEXT7_API_KEY: YOUR_API_KEY"

Claude Code Local Server Connection

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

Install in Windsurf

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

Windsurf Remote Server Connection

*Configuration content*

Windsurf Local Server Connection

*Configuration content*

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

*Configuration content*

VS Code Local Server Connection

*Configuration content*

** Install in Cline
**

You can easily install Context7 through the Cline MCP Server Marketplace by following these instructions:

Open Cline.
Click the hamburger menu icon (☰) to enter the MCP Servers section.
Use the search bar within the Marketplace tab to find Context7.
Click the Install button.

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.

*Configuration content*

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

Click the hamburger menu.
Select Settings.
Navigate to the Tools section.
Click the + Add MCP button.
Enter the following command:
```
npx -y @upstash/context7-mcp@latest
```
Name the MCP: Context7.
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

Press Cmd/Ctrl Shift P or go to the hamburger menu in the Augment panel
Select Edit Settings
Under Advanced, click Edit in settings.json
Add the server configuration to the mcpServers array in the augment.advanced object

*Configuration content*

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

*Configuration content*

Roo Code Local Server Connection

*Configuration content*

Install in Gemini CLI

See Gemini CLI Configuration for details.

Open the Gemini CLI settings file. The location is ~/.gemini/settings.json (where ~ is your home directory).
Add the following to the mcpServers object in your settings.json file:

*Configuration content*

Or, for a local server:

*Configuration content*

If the mcpServers object does not exist, create it.

Install in Claude Desktop

Remote Server Connection

Open Claude Desktop and navigate to Settings > Connectors > Add Custom Connector. Enter the name as Context7 and the remote MCP server URL as https://mcp.context7.com/mcp.

Local Server Connection

Open Claude Desktop developer settings and edit your claude_desktop_config.json file to add the following configuration. See Claude Desktop MCP docs for more info.

*Configuration content*

Install in Opencode

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

Opencode Remote Server Connection

*Configuration content*

Opencode Local Server Connection

*Configuration content*

Install in OpenAI Codex

See OpenAI Codex for more information.

Add the following configuration to your OpenAI Codex MCP server settings:

[mcp_servers.context7]
args = ["-y", "@upstash/context7-mcp", "--api-key", "YOUR_API_KEY"]
command = "npx"

Install in JetBrains AI Assistant

See JetBrains AI Assistant Documentation for more details.

In JetBrains IDEs go to Settings -> Tools -> AI Assistant -> Model Context Protocol (MCP)
Click + Add.
Click on Command in the top-left corner of the dialog and select the As JSON option from the list
Add this configuration and click OK

*Configuration content*

Click Apply to save changes.
The same way context7 could be added for JetBrains Junie in Settings -> Tools -> Junie -> MCP Settings

Install in Kiro

See Kiro Model Context Protocol Documentation for details.

Navigate Kiro > MCP Servers
Add a new MCP server by clicking the + Add button.
Paste the configuration given below:

*Configuration content*

Click Save to apply the changes.

Install in Trae

Use the Add manually feature and fill in the JSON configuration information for that MCP server.
For more details, visit the Trae documentation.

Trae Remote Server Connection

*Configuration content*

Trae Local Server Connection

*Configuration content*

Using Bun or Deno

Use these alternatives to run the local Context7 MCP server with other runtimes. These examples work for any client that supports launching a local MCP server via command + args.

Bun

*Configuration content*

Deno

*Configuration content*

Using Docker

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

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 .

Configure Your MCP Client:

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

Example for a cline_mcp_settings.json:

*Configuration content*json
{
"mcpServers": {
"github.com/upstash/context7-mcp": {
"command": "cmd",
"args": ["/c", "npx", "-y", "@upstash/context7-mcp", "--api-key", "YOUR_API_KEY"],
"disabled": false,
"autoApprove": []
}
}
}


****Install in Amazon Q Developer CLI****

Add this to your Amazon Q Developer CLI configuration file. See [Amazon Q Developer CLI docs](https://docs.aws.amazon.com/amazonq/latest/qdeveloper-ug/command-line-mcp-configuration.html) for more details.

*Configuration content*

****Install in Warp****

See [Warp Model Context Protocol Documentation](https://docs.warp.dev/knowledge-and-collaboration/mcp#adding-an-mcp-server) for details.

1. Navigate `Settings` > `AI` > `Manage MCP servers`.
1. Add a new MCP server by clicking the `+ Add` button.
1. Paste the configuration given below:

*Configuration content*

4. Click `Save` to apply the changes.

****Install in Copilot Coding Agent****

## Using Context7 with Copilot Coding Agent

Add the following configuration to the `mcp` section of your Copilot Coding Agent configuration file Repository->Settings->Copilot->Coding agent->MCP configuration:

*Configuration content*

For more information, see the [official GitHub documentation](https://docs.github.com/en/enterprise-cloud@latest/copilot/how-tos/agents/copilot-coding-agent/extending-copilot-coding-agent-with-mcp).

****Install in LM Studio****

See [LM Studio MCP Support](https://lmstudio.ai/blog/lmstudio-v0.3.17) for more information.

#### One-click install:

[![Add MCP Server context7 to LM Studio](https://files.lmstudio.ai/deeplink/mcp-install-light.svg)](https://lmstudio.ai/install-mcp?name=context7\&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsIkB1cHN0YXNoL2NvbnRleHQ3LW1jcCJdfQ==)

#### Manual set-up:

1. Navigate to `Program` (right side) > `Install` > `Edit mcp.json`.
1. Paste the configuration given below:

*Configuration content*

3. Click `Save` to apply the changes.
3. Toggle the MCP server on/off from the right hand side, under `Program`, or by clicking the plug icon at the bottom of the chat box.

****Install in Visual Studio 2022****

You can configure Context7 MCP in Visual Studio 2022 by following the [Visual Studio MCP Servers documentation](https://learn.microsoft.com/visualstudio/ide/mcp-servers?view=vs-2022).

Add this to your Visual Studio MCP config file (see the [Visual Studio docs](https://learn.microsoft.com/visualstudio/ide/mcp-servers?view=vs-2022) for details):

*Configuration content*

Or, for a local server:

*Configuration content*

For more information and troubleshooting, refer to the [Visual Studio MCP Servers documentation](https://learn.microsoft.com/visualstudio/ide/mcp-servers?view=vs-2022).

****Install in Crush****

Add this to your Crush configuration file. See [Crush MCP docs](https://github.com/charmbracelet/crush#mcps) for more info.

#### Crush Remote Server Connection (HTTP)

*Configuration content*

#### Crush Remote Server Connection (SSE)

*Configuration content*

#### Crush Local Server Connection

*Configuration content*

****Install in BoltAI****

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

*Configuration content*

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](https://docs.boltai.com/docs/plugins/mcp-servers). For BoltAI on iOS, [see this guide](https://docs.boltai.com/docs/boltai-mobile/mcp-servers).

****Install in Rovo Dev CLI****

Edit your Rovo Dev CLI MCP config by running the command below -

```bash
acli rovodev mcp

Example config -

Remote Server Connection

*Configuration content*

Local Server Connection

*Configuration content*

Install in Zencoder

To configure Context7 MCP in Zencoder, follow these steps:

Go to the Zencoder menu (...)
From the dropdown menu, select Agent tools
Click on the Add custom MCP
Add the name and server configuration from below, and make sure to hit the Install button

*Configuration content*

Once the MCP server is added, you can easily continue using it.

Install in Qodo Gen

See Qodo Gen docs for more details.

Open Qodo Gen chat panel in VSCode or IntelliJ.
Click Connect more tools.
Click + Add new MCP.
Add the following configuration:

Qodo Gen Local Server Connection

*Configuration content*

Qodo Gen Remote Server Connection

*Configuration content*

Install in Perplexity Desktop

See Local and Remote MCPs for Perplexity for more information.

Navigate Perplexity > Settings
Select Connectors.
Click Add Connector.
Select Advanced.
Enter Server Name: Context7
Paste the following JSON in the text area:

*Configuration content*

Click Save.

🔨 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.

🛟 Tips

Add a Rule

If you don’t want to add use context7 to every prompt, you can define a simple rule in your .windsurfrules file in Windsurf or from Cursor Settings > Rules section in Cursor (or the equivalent in your MCP client) to auto-invoke Context7 on any code question:
[[calls]]
match = "when the user requests code examples, setup or configuration steps, or library/API documentation"
tool  = "context7"
From then on you’ll get Context7’s docs in any related conversation without typing anything extra. You can add your use cases to the match part.

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.

HTTPS Proxy

If you are behind an HTTP proxy, Context7 uses the standard https_proxy / HTTPS_PROXY environment variables.

💻 Development

Clone the project and install dependencies:

bun i

Build:

bun run build

Run the server:

bun run dist/index.js

CLI Arguments

context7-mcp accepts the following CLI flags:

--transport <stdio|http> – Transport to use (stdio by default). Note that HTTP transport automatically provides both HTTP and SSE endpoints.
--port <number> – Port to listen on when using http transport (default 3000).
--api-key <key> – API key for authentication. You can get your API key by creating an account at context7.com/dashboard.

Example with http transport and port 8080:

bun run dist/index.js --transport http --port 8080

Another example with stdio transport:

bun run dist/index.js --transport stdio --api-key YOUR_API_KEY

Local Configuration Example

*Configuration content*

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:

*Configuration content*

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:

*Configuration content*

TLS/Certificate Issues

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

*Configuration content*

General MCP Client Errors

Try adding @latest to the package name
Use bunx as an alternative to npx
Consider using deno as another alternative
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

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🌐 Visit our Website
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📄 License

MIT