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LLMs rely on outdated or generic information about the libraries you use.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- ❌ Code examples are outdated and based on year-old training data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:
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No tab-switching, no hallucinated APIs that don't exist, no outdated code generations.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
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.
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"]
}
}
}
{
"mcpServers": {
"context7": {
"command": "bunx",
"args": ["-y", "@upstash/context7-mcp"]
}
}
}
{
"mcpServers": {
"context7": {
"command": "deno",
"args": ["run", "--allow-env=NO_DEPRECATION,TRACE_DEPRECATION", "--allow-net", "npm:@upstash/context7-mcp"]
}
}
}
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"]
}
}
}
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"]
}
}
}
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):
{
"mcp": {
"servers": {
"context7": {
"type": "http",
"url": "https://mcp.context7.com/mcp"
}
}
}
}
Or, for a local server:
{
"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.
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": {}
}
}
}
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 yoursettings.json
file:
{
"mcpServers": {
"context7": {
"command": "npx",
"args": ["-y", "@upstash/context7-mcp"]
}
}
}
If the mcpServers
object does not exist, create it.
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
Or using SSE transport:
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
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"]
}
}
}
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.
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 theDockerfile
: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
vsservers
). Also, ensure the image name inargs
matches the tag used during thedocker 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, 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 theaugment.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.
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"]
}
}
}
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
{
"command": "npx",
"args": [
"-y",
"@upstash/context7-mcp@latest"
]
}
Once the MCP server is added, you can easily continue using it.
Add this to your Amazon Q Developer CLI configuration file. See Amazon Q Developer CLI docs for more details.
{
"mcpServers": {
"context7": {
"command": "npx",
"args": ["-y", "@upstash/context7-mcp@latest"]
}
}
}
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:
{
"mcpServers": {
"context7": {
"url": "https://mcp.context7.com/mcp"
}
}
}
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
{
"mcpServers": {
"context7": {
"command": "npx",
"args": ["-y", "@upstash/context7-mcp"]
}
}
}
- Click
Apply
to save changes.
See Warp Model Context Protocol Documentation for details.
- Navigate
Settings
>AI
>Manage MCP servers
. - Add a new MCP server by clicking the
+ Add
button. - Paste the configuration given below:
{
"Context7": {
"command": "npx",
"args": [
"-y",
"@upstash/context7-mcp"
],
"env": {},
"working_directory": null,
"start_on_launch": true
}
}
- 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:
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|sse>
– Transport to use (stdio
by default).--port <number>
– Port to listen on when usinghttp
orsse
transport (default3000
).
Example with http transport and port 8080:
bun run dist/index.js --transport http --port 8080
{
"mcpServers": {
"context7": {
"command": "npx",
"args": ["tsx", "/path/to/folder/context7-mcp/src/index.ts"]
}
}
}
npx -y @modelcontextprotocol/inspector npx @upstash/context7-mcp
🚨 Troubleshooting
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"]
}
}
}
- Try adding
@latest
to the package name - Use
bunx
as an alternative tonpx
- 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
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
📄 License
MIT