Enables management of RunPod cloud infrastructure including GPU pods (with NVIDIA GPU support), serverless endpoints, templates, network volumes, and container registry authentications through the RunPod REST API.
Enables management of RunPod cloud infrastructure including GPU pods (with PyTorch container support), serverless endpoints, templates, network volumes, and container registry authentications through the RunPod REST API.
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
Installing via Smithery
To install runpod-mcp-ts for Claude Desktop automatically via Smithery:
Installation
Clone the repository
Install dependencies:
npm installBuild the server:
npm run build
Configuration
Set your RunPod API key as an environment variable:
You can get your API key from the RunPod console.
Running the Server
Start the server:
Setting up with Claude for Desktop
Open Claude for Desktop
Edit the config file:
~/Library/Application Support/Claude/claude_desktop_config.json(macOS) or%APPDATA%\Claude\claude_desktop_config.json(Windows)Add the server configuration:
Make sure to replace the "args": ["/path/to/runpod-mcp-server/build/index.js"] with the path to the build folder in the repository.
Restart Claude for Desktop
Usage Examples
Here are some examples of how to use the server with Claude:
List all pods
Create a new pod
Create a serverless endpoint
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