RunPod MCP Server

This Model Context Protocol (MCP) server enables you to interact with the RunPod REST API through Claude or other MCP-compatible clients.

Features

The server provides tools for managing:

• Pods: Create, list, get details, update, start, stop, and delete pods
• Endpoints: Create, list, get details, update, and delete serverless endpoints
• Templates: Create, list, get details, update, and delete templates
• Network Volumes: Create, list, get details, update, and delete network volumes
• Container Registry Authentications: Create, list, get details, and delete authentications

Setup

Prerequisites

• Node.js 18 or higher
• A RunPod account and API key
• Claude for Desktop or another MCP-compatible client

Installation

1. Clone the repository
2. Install dependencies:

   npm install
   

3. Build the server:

   npm run build
   

Configuration

Set your RunPod API key as an environment variable:

# Linux/macOS
export RUNPOD_API_KEY=your_api_key_here

# Windows (Command Prompt)
set RUNPOD_API_KEY=your_api_key_here

# Windows (PowerShell)
$env:RUNPOD_API_KEY="your_api_key_here"

You can get your API key from the RunPod console.

Running the Server

Start the server:

npm start

Setting up with Claude for Desktop

1. Open Claude for Desktop
2. Edit the config file: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)
3. Add the server configuration:

{
  "mcpServers": {
    "runpod": {
      "command": "node",
      "args": ["/path/to/runpod-mcp-server/build/index.js"],
      "env": {
        "RUNPOD_API_KEY": "your_api_key_here"
      }
    }
  }
}

Make sure to replace the "args": ["/path/to/runpod-mcp-server/build/index.js"] with the path to the build folder in the repository.

4. Restart Claude for Desktop

Usage Examples

Here are some examples of how to use the server with Claude:

List all pods

Can you list all my RunPod pods?

Create a new pod

Create a new RunPod pod with the following specifications:
- Name: test-pod
- Image: runpod/pytorch:2.1.0-py3.10-cuda11.8.0-devel-ubuntu22.04
- GPU Type: NVIDIA GeForce RTX 4090
- GPU Count: 1

Create a serverless endpoint

Create a RunPod serverless endpoint with the following configuration:
- Name: my-endpoint
- Template ID: 30zmvf89kd
- Minimum workers: 0
- Maximum workers: 3

Security Considerations

This server requires your RunPod API key, which grants full access to your RunPod account. For security:

• Never share your API key
• Be cautious about what operations you perform
• Consider setting up a separate API key with limited permissions
• Don't use this in a production environment without proper security measures

License

MIT