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LLMs rely on outdated or generic information about the libraries you use.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❌ Code examples are outdated and based on year-old training data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

txt

Create a Next.js middleware that checks for a valid JWT in cookies and redirects unauthenticated users to `/login`. use context7

txt

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No tab-switching, no hallucinated APIs that don't exist, no outdated code generation.

📚 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)

WARNING

SSE Protocol Deprecation Notice

The Server-Sent Events (SSE) transport protocol is deprecated and its endpoint will be removed in upcoming releases. Please use HTTP or stdio transport methods instead.

<details> <summary>Installing via Smithery</summary>

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

bash

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.

</details> <details> <summary>Install in Cursor</summary>

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",
      "headers": {
        "CONTEXT7_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

Cursor Local Server Connection

json

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

</details> <details> <summary>Install in Claude Code</summary>

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"

Claude Code Local Server Connection

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

</details> <details> <summary>Install in Windsurf</summary>

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/mcp",
      "headers": {
        "CONTEXT7_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

Windsurf Local Server Connection

json

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

</details> <details> <summary>Install in VS Code</summary>

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",
      "headers": {
        "CONTEXT7_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

VS Code Local Server Connection

json

"mcp": {
  "servers": {
    "context7": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@upstash/context7-mcp", "--api-key", "YOUR_API_KEY"]
    }
  }
}

</details> <details> <summary> Install in Cline </summary>

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.

Or you can directly edit MCP servers configuration:

Open Cline.
Click the hamburger menu icon (☰) to enter the MCP Servers section.
Choose Remote Servers tab.
Click the Edit Configuration button.
Add context7 to mcpServers:

json

{
  "mcpServers": {
    "context7": {
      "url": "https://mcp.context7.com/mcp",
      "type": "streamableHttp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

</details> <details> <summary>Install in Zed</summary>

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", "--api-key", "YOUR_API_KEY"]
      },
      "settings": {}
    }
  }
}

</details> <details> <summary>Install in Augment Code</summary>

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:
code
```
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

json

"augment.advanced": {
  "mcpServers": [
    {
      "name": "context7",
      "command": "npx",
      "args": ["-y", "@upstash/context7-mcp", "--api-key", "YOUR_API_KEY"]
    }
  ]
}

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.

</details> <details> <summary>Install in Roo Code</summary>

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",
      "headers": {
        "CONTEXT7_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

Roo Code Local Server Connection

json

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

</details> <details> <summary>Install in Gemini CLI</summary>

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:

json

{
  "mcpServers": {
    "context7": {
      "httpUrl": "https://mcp.context7.com/mcp",
      "headers": {
        "CONTEXT7_API_KEY": "YOUR_API_KEY",
        "Accept": "application/json, text/event-stream"
      }
    }
  }
}

Or, for a local server:

json

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

If the mcpServers object does not exist, create it.

</details> <details> <summary>Install in Claude Desktop</summary>

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.

json

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

</details> <details> <summary>Install in Opencode</summary>

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

Opencode Remote Server Connection

json

"mcp": {
  "context7": {
    "type": "remote",
    "url": "https://mcp.context7.com/mcp",
    "headers": {
      "CONTEXT7_API_KEY": "YOUR_API_KEY"
    },
    "enabled": true
  }
}

Opencode Local Server Connection

json

{
  "mcp": {
    "context7": {
      "type": "local",
      "command": ["npx", "-y", "@upstash/context7-mcp", "--api-key", "YOUR_API_KEY"],
      "enabled": true
    }
  }
}

</details> <details> <summary>Install in OpenAI Codex</summary>

See OpenAI Codex for more information.

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

toml

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

⚠️ Windows Notes

On Windows, some users may encounter request timed out errors with the default configuration. In that case, explicitly configure the MCP server with the full path to Node.js and the installed package:

toml

[mcp_servers.context7]
command = "C:\\Program Files\\nodejs\\node.exe"
args = [
  "C:\\Users\\yourname\\AppData\\Roaming\\npm\\node_modules\\@upstash\\context7-mcp\\dist\\index.js",
  "--transport",
  "stdio",
  "--api-key",
  "YOUR_API_KEY"
]

Alternatively, you can use the following configuration:

toml

[mcp_servers.context7]
command = "cmd"
args = [
    "/c",
    "npx",
    "-y",
    "@upstash/context7-mcp",
    "--api-key",
    "YOUR_API_KEY"
]
env = { SystemRoot="C:\\Windows" }
startup_timeout_ms = 20_000

This ensures Codex CLI works reliably on Windows.

</details> <details> <summary>Install in JetBrains AI Assistant</summary>

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

json

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

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

</details> <details> <summary>Install in Kiro</summary>

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:

json

{
  "mcpServers": {
    "Context7": {
      "command": "npx",
      "args": ["-y", "@upstash/context7-mcp", "--api-key", "YOUR_API_KEY"],
      "env": {},
      "disabled": false,
      "autoApprove": []
    }
  }
}

Click Save to apply the changes.

</details> <details> <summary>Install in Trae</summary>

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

json

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

Trae Local Server Connection

json

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

</details> <details> <summary>Using Bun or Deno</summary>

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

json

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

Deno

json

{
  "mcpServers": {
    "context7": {
      "command": "deno",
      "args": [
        "run",
        "--allow-env=NO_DEPRECATION,TRACE_DEPRECATION",
        "--allow-net",
        "npm:@upstash/context7-mcp"
      ]
    }
  }
}

</details> <details> <summary>Using Docker</summary>

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):
<details> <summary>Click to see Dockerfile content</summary>
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"]
```
</details>
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 .
```
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.

</details> <details> <summary>Install Using the Desktop Extension</summary>

Install the context7.mcpb file under the mcpb folder and add it to your client. For more information, please check out MCP bundles docs.

</details> <details> <summary>Install in Windows</summary>

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", "--api-key", "YOUR_API_KEY"],
      "disabled": false,
      "autoApprove": []
    }
  }
}

</details> <details> <summary>Install in Amazon Q Developer CLI</summary>

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", "--api-key", "YOUR_API_KEY"]
    }
  }
}

</details> <details> <summary>Install in Warp</summary>

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:

json

{
  "Context7": {
    "command": "npx",
    "args": ["-y", "@upstash/context7-mcp", "--api-key", "YOUR_API_KEY"],
    "env": {},
    "working_directory": null,
    "start_on_launch": true
  }
}

Click Save to apply the changes.

</details> <details> <summary>Install in Copilot Coding Agent</summary>

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:

json

{
  "mcpServers": {
    "context7": {
      "type": "http",
      "url": "https://mcp.context7.com/mcp",
      "headers": {
        "CONTEXT7_API_KEY": "YOUR_API_KEY"
      },
      "tools": ["get-library-docs", "resolve-library-id"]
    }
  }
}

For more information, see the official GitHub documentation.

</details> <details> <summary>Install in LM Studio</summary>

See LM Studio MCP Support for more information.

One-click install:

Manual set-up:

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

json

{
  "mcpServers": {
    "Context7": {
      "command": "npx",
      "args": ["-y", "@upstash/context7-mcp", "--api-key", "YOUR_API_KEY"]
    }
  }
}

Click Save to apply the changes.
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.

</details> <details> <summary>Install in Visual Studio 2022</summary>

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

{
  "inputs": [],
  "servers": {
    "context7": {
      "type": "http",
      "url": "https://mcp.context7.com/mcp",
      "headers": {
        "CONTEXT7_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

Or, for a local server:

json

{
  "mcp": {
    "servers": {
      "context7": {
        "type": "stdio",
        "command": "npx",
        "args": ["-y", "@upstash/context7-mcp", "--api-key", "YOUR_API_KEY"]
      }
    }
  }
}

For more information and troubleshooting, refer to the Visual Studio MCP Servers documentation.

</details> <details> <summary>Install in Crush</summary>

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

Crush Remote Server Connection (HTTP)

json

{
  "$schema": "https://charm.land/crush.json",
  "mcp": {
    "context7": {
      "type": "http",
      "url": "https://mcp.context7.com/mcp",
      "headers": {
        "CONTEXT7_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

Crush Local Server Connection

json

{
  "$schema": "https://charm.land/crush.json",
  "mcp": {
    "context7": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@upstash/context7-mcp", "--api-key", "YOUR_API_KEY"]
    }
  }
}

</details> <details> <summary>Install in BoltAI</summary>

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", "--api-key", "YOUR_API_KEY"]
    }
  }
}

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.

</details> <details> <summary>Install in Rovo Dev CLI</summary>

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

bash

acli rovodev mcp

Example config -

Remote Server Connection

json

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

Local Server Connection

json

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

</details> <details> <summary>Install in Zencoder</summary>

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

json

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

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

</details> <details> <summary>Install in Qodo Gen</summary>

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

json

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

Qodo Gen Remote Server Connection

json

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

</details> <details> <summary>Install in Perplexity Desktop</summary>

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:

json

{
  "args": ["-y", "@upstash/context7-mcp", "--api-key", "YOUR_API_KEY"],
  "command": "npx",
  "env": {}
}

Click Save.

</details>

🔨 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 5000): Max number of tokens to return. Values less than 1000 are automatically increased to 1000.

🛟 Tips

Add a Rule

If you don’t want to add use context7 to every prompt, you can define a simple rule in your MCP client's rule section:

For Windsurf, in .windsurfrules file
For Cursor, from Cursor Settings > Rules section
For Claude Code, in CLAUDE.md file

Or the equivalent in your MCP client to auto-invoke Context7 on any code question.

Example Rule

txt

Always use context7 when I need code generation, setup or configuration steps, or
library/API documentation. This means you should automatically use the Context7 MCP
tools to resolve library id and get library docs without me having to explicitly ask.

From then on, you’ll get Context7’s docs in any related conversation without typing anything extra. You can alter the rule to match your use cases.

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.

txt

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:

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 <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:

bash

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

Another example with stdio transport:

bash

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

<details> <summary>Local Configuration Example</summary>

json

{
  "mcpServers": {
    "context7": {
      "command": "npx",
      "args": ["tsx", "/path/to/folder/context7/src/index.ts", "--api-key", "YOUR_API_KEY"]
    }
  }
}

</details> <details> <summary>Testing with MCP Inspector</summary>

bash

npx -y @modelcontextprotocol/inspector npx @upstash/context7-mcp

</details>

🚨 Troubleshooting

<details> <summary>Module Not Found Errors</summary>

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.

</details> <details> <summary>ESM Resolution Issues</summary>

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"]
    }
  }
}

</details> <details> <summary>TLS/Certificate Issues</summary>

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

json

{
  "mcpServers": {
    "context7": {
      "command": "npx",
      "args": ["-y", "--node-options=--experimental-fetch", "@upstash/context7-mcp"]
    }
  }
}

</details> <details> <summary>General MCP Client Errors</summary>

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

</details>

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Install

claude_desktop_config.json

{
  "mcpServers": {
    "renCosta2025-context7fork": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://server.smithery.ai/@renCosta2025/context7fork/mcp"
      ]
    }
  }
}

Desktop config is stdio-only; this bridges via mcp-remote. Native remote: Settings > Connectors.