
RunPod
Manage your RunPod cloud resources directly through an MCP-compatible client. Create, list, update, start, stop, and delete pods, serverless endpoints, templates, network volumes, and container registry authentications with ease. Streamline your RunPod operations using natural language commands via Claude or other MCP clients.
What is RunPod?
RunPod is a cloud resource management tool that allows users to manage their RunPod cloud resources through an MCP-compatible client. It provides a user-friendly interface to create, list, update, start, stop, and delete various cloud resources such as pods, serverless endpoints, templates, and network volumes.
How to use RunPod?
To use RunPod, you need to set up the server by cloning the repository, installing dependencies, and configuring your RunPod API key. Once set up, you can interact with the server using natural language commands through Claude or other MCP-compatible clients.
Key features of RunPod?
- Manage pods: Create, list, update, start, stop, and delete pods.
- Manage serverless endpoints: Create, list, update, and delete endpoints.
- Manage templates and network volumes.
- Use natural language commands for easy interaction.
Use cases of RunPod?
- Automating cloud resource management tasks.
- Simplifying the deployment of serverless applications.
- Managing multiple cloud resources efficiently.
FAQ from RunPod?
- What is required to run RunPod?
You need Node.js 18 or higher and a RunPod account with an API key.
- Can I use RunPod without Claude?
Yes, but using Claude or another MCP-compatible client enhances the experience with natural language commands.
- Is my API key secure?
Yes, but you should never share your API key and be cautious about the operations you perform.
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
- Clone the repository
- Install dependencies:
npm install
- 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
- 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:
{
"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.
- 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