Context7 MCP - Up-to-date Docs For Any Cursor Prompt
LLMs rely on outdated or generic information about the libraries you use. You get:
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.
use context7
No tab-switching, no hallucinated APIs that don't exist, no outdated code generations.
Check out our project addition guide to learn how to add (or update) your favorite libraries to Context7.
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.
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.
{
"mcpServers": {
"context7": {
"url": "https://mcp.context7.com/mcp"
}
}
}
{
"mcpServers": {
"context7": {
"command": "npx",
"args": ["-y", "@upstash/context7-mcp"]
}
}
}
{
"mcpServers": {
"context7": {
"command": "bunx",
"args": ["-y", "@upstash/context7-mcp"]
}
}
}
{
"mcpServers": {
"context7": {
"command": "deno",
"args": ["run", "--allow-env", "--allow-net", "npm:@upstash/context7-mcp"]
}
}
}
Add this to your Windsurf MCP config file. See Windsurf MCP docs for more info.
{
"mcpServers": {
"context7": {
"serverUrl": "https://mcp.context7.com/sse"
}
}
}
{
"mcpServers": {
"context7": {
"command": "npx",
"args": ["-y", "@upstash/context7-mcp"]
}
}
}
Add this to your VS Code MCP config file. See VS Code MCP docs for more info.
"mcp": {
"servers": {
"context7": {
"type": "http",
"url": "https://mcp.context7.com/mcp"
}
}
}
"mcp": {
"servers": {
"context7": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@upstash/context7-mcp"]
}
}
}
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": {}
}
}
}
Run this command. See Claude Code MCP docs for more info.
claude mcp add --transport sse context7 https://mcp.context7.com/sse
claude mcp add context7 -- npx -y @upstash/context7-mcp
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"]
}
}
}
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.
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):
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:
{
"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.
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": []
}
}
}
To configure Context7 MCP in Augment Code, follow these steps:
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.
Add this to your Roo Code MCP configuration file. See Roo Code MCP docs for more info.
{
"mcpServers": {
"context7": {
"type": "streamable-http",
"url": "https://mcp.context7.com/mcp"
}
}
}
{
"mcpServers": {
"context7": {
"command": "npx",
"args": ["-y", "@upstash/context7-mcp"]
}
}
}
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"
}
}
}
}
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 forget-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.Clone the project and install dependencies:
bun i
Build:
bun run build
{
"mcpServers": {
"context7": {
"command": "npx",
"args": ["tsx", "/path/to/folder/context7-mcp/src/index.ts"]
}
}
}
npx -y @modelcontextprotocol/inspector npx @upstash/context7-mcp
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.
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"]
}
}
}
Use the --experimental-fetch
flag to bypass TLS-related problems:
{
"mcpServers": {
"context7": {
"command": "npx",
"args": ["-y", "--node-options=--experimental-fetch", "@upstash/context7-mcp"]
}
}
}
@latest
to the package namebunx
as an alternative to npx
deno
as another alternativeContext7 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.
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