RunPod MCP Server
OfficialThis MCP server enables comprehensive management of RunPod cloud infrastructure through the Model Context Protocol, allowing AI assistants like Claude to programmatically interact with the RunPod REST API.
Capabilities:
Pod Management: Create, list, retrieve details, update, start, stop, and delete pods with configurable options including GPU type/count, container images, Docker settings, environment variables, ports, storage volumes, data centers, and container disk sizes. Filter pods by name, GPU type, compute type, and data center.
Serverless Endpoint Management: Create, list, retrieve details, update, and delete serverless endpoints with auto-scaling configurations (min/max workers, scaler type, idle timeout), GPU configuration, data center selection, and template-based deployment.
Template Management: Create, list, retrieve details, update, and delete templates for reusable container configurations with Docker settings, environment variables, volumes, ports, and serverless options.
Network Volume Management: Create, list, retrieve details, update (name and size), and delete network volumes (1-4000 GB) for persistent storage across data centers.
Container Registry Authentication: Create, list, retrieve details, and delete container registry authentication credentials (username and password) for accessing private Docker images.
Required runtime environment for the MCP server implementation
Enables management of NVIDIA GPU-powered computing resources through RunPod's platform
Supports deployment of PyTorch environments through RunPod's container infrastructure
Facilitates creation and management of Ubuntu-based development environments on RunPod
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@RunPod MCP Serverlist all my pods"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Runpod MCP server
The official Runpod Model Context Protocol (MCP) server. It lets MCP clients such as Claude Code, Claude Desktop, Cursor, Windsurf, and VS Code manage your Runpod Pods, Serverless endpoints, templates, network volumes, and more.
We host it for you at https://mcp.getrunpod.io/ — point your client at that URL and sign in with Runpod. Nothing to install, no API key on disk. Or run it locally from npm as @runpod/mcp-server.
Quick start
The guided installer detects the clients you have installed, asks which to configure, and writes the config for you:
npx @runpod/mcp-server@latest addIt offers two connection modes:
Hosted (recommended) — points the client at the hosted server and authenticates with "Sign in with Runpod" (OAuth). No API key is stored on disk.
Local — runs the server through
npxand stores aRUNPOD_API_KEYin the client's config.
To undo later:
npx @runpod/mcp-server@latest removeOr install the whole Runpod plugin
For the full agent setup, the official plugin marketplace bundles this server with a router skill plus five more — runpod-mcp, runpodctl, flash, runpod-usage, and companion-clis:
npx skills add runpod/runpod-plugins-officialThat works in Claude Code, Codex, Cursor, Copilot, Windsurf, Cline, Gemini, opencode, and 17+ other agents, and installs the skills — pair it with npx @runpod/mcp-server@latest add above for the control-plane tools.
In Claude Code, the native plugin route also wires up the hosted MCP server for you (OAuth included), so no separate setup is needed:
/plugin marketplace add runpod/runpod-plugins-official
/plugin install runpod@runpodRequirements
Node.js 18 or higher.
A Runpod account and API key.
Related MCP server: RunPod MCP Server
Connect to the hosted server
To configure a client by hand, point it at the hosted server over HTTP (no local process, no API key stored).
Claude Code:
claude mcp add --transport http runpod -s user https://mcp.getrunpod.io/Other clients (Cursor, VS Code, Claude Desktop connectors, …) — use a URL-based MCP entry:
{
"mcpServers": {
"runpod": {
"url": "https://mcp.getrunpod.io/"
}
}
}An OAuth-capable client starts the "Sign in with Runpod" flow automatically on first connect: it opens a browser, you log in to the Runpod console and approve, and the server obtains a Runpod API key scoped to your session. Nothing is stored on disk.
Prefer your own API key over OAuth? Append
--header "Authorization: Bearer YOUR_API_KEY"to theclaude mcp addcommand (or add aheadersblock in the JSON). The server forwards that key to the Runpod API directly.
Run locally with npx
Run the server as a local stdio process with your own API key:
RUNPOD_API_KEY=YOUR_API_KEY npx -y @runpod/mcp-server@latestOr install via Smithery:
npx -y @smithery/cli install @runpod/runpod-mcp-ts --client claudeLocal client setup
Local clients launch the stdio server and set RUNPOD_API_KEY in the environment.
Claude Code:
claude mcp add runpod -s user \
-e RUNPOD_API_KEY=YOUR_API_KEY \
-- npx -y @runpod/mcp-server@latestUse -s project for a project-local server. Verify with claude mcp list; in a session, /mcp reconnects.
Claude Desktop, Cursor, VS Code, Windsurf, and other clients — use the same command in the client's MCP config:
{
"mcpServers": {
"runpod": {
"command": "npx",
"args": ["-y", "@runpod/mcp-server@latest"],
"env": {
"RUNPOD_API_KEY": "YOUR_API_KEY"
}
}
}
}Claude Desktop's config lives at ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows); restart the app after saving. For a broader list of clients, see the MCP clients directory.
Usage examples
Ask your MCP client in natural language:
List all my Runpod Pods.Create a Runpod Pod named test-pod with image
runpod/pytorch:2.1.0-py3.10-cuda11.8.0-devel-ubuntu22.04,
GPU type NVIDIA GeForce RTX 4090, 1 GPU.Create a Serverless endpoint named my-endpoint with image
runpod/test-output:0.0.1, GPU pool AMPERE_80, 0 min workers, 3 max workers.On the v2 API (the default), endpoints are image-based — pass an image and a GPU pool (a pool value from list-gpu-types), not a template.
See docs/configuration.md for REST v1/v2 selection and the templateId migration note, private image pull (registry credentials vs ECR delegation), and large-output handling.
Security
This server acts with the full permissions of the supplied API key.
Never share your API key.
Be deliberate with destructive tools.
Each request authenticates with its own caller-supplied token, which is forwarded to the Runpod API and never persisted server-side. The server never holds a credential of its own and never shares one across users.
Local development
git clone https://github.com/runpod/runpod-mcp.git
cd runpod-mcp
pnpm install
pnpm buildRun the local build directly:
RUNPOD_API_KEY=YOUR_API_KEY node dist/stdio.mjsAfter changes:
pnpm type-check
pnpm lint
pnpm test # offline unit suite — no network or API key required
pnpm buildThis project uses changesets for versioning and npm publishing; every PR with user-facing changes needs a changeset. See CLAUDE.md and docs/context.md for full contributor guidance, architecture, and the test suite.
License
Apache-2.0
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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