Runcrate MCP

Give your AI agent GPUs. Runcrate is a GPU cloud for AI developers and agents: connect it once, then ask in plain words. Your agent sees live GPU prices, launches a GPU on a ready image, runs your command as a job whose machine stops (and stops billing) when the command exits, schedules runs, moves files, and checks your spend.

• Server: https://mcp.runcrate.ai/mcp (streamable HTTP)

• Sign-in: OAuth in your browser. No key to copy, nothing to paste into a config file.

• 37 tools: instances, jobs, schedules, files, volumes, firewall, billing, environments. Tool reference

You pick one environment when you sign in. The agent acts only there, and that environment's monthly budget caps what it can spend.

Connect your agent

Or let the Runcrate CLI find your clients and connect them all:

runcrate mcp install

Claude Code

claude mcp add --transport http --scope user runcrate https://mcp.runcrate.ai/mcp

Then run /mcp in Claude Code and pick runcrate: your browser opens to sign in.

Or install the plugin, which adds the server and a skill that teaches Claude how to spend safely:

/plugin marketplace add aeonmindai/runcrate-mcp
/plugin install runcrate@runcrate

Claude (claude.ai and Claude Desktop)

1. Open Settings > Connectors and choose Add custom connector.

2. Name it Runcrate and paste https://mcp.runcrate.ai/mcp.

3. Choose Connect and sign in to Runcrate in the window that opens.

ChatGPT

1. Open chatgpt.com/plugins, choose +, then Add custom MCP server.

2. Name it Runcrate and paste https://mcp.runcrate.ai/mcp as the URL, with OAuth.

3. Create it, sign in to Runcrate, then mention @Runcrate in a chat.

Codex

codex mcp add runcrate --url https://mcp.runcrate.ai/mcp

Codex opens your browser to sign in. Closed it? Run codex mcp login runcrate.

Gemini CLI

gemini extensions install https://github.com/aeonmindai/runcrate-mcp

Windsurf and Devin

Run runcrate mcp install --client windsurf, or add a server in Cascade's MCP settings with the URL https://mcp.runcrate.ai/mcp. Devin CLI: devin mcp add -s user runcrate https://mcp.runcrate.ai/mcp, then devin mcp login runcrate.

Zed, Warp, Goose, Raycast and any other MCP client

Give the client the URL https://mcp.runcrate.ai/mcp and choose OAuth (dynamic registration). It signs you in through your browser on first use.

Cursor (~/.cursor/mcp.json), Warp (~/.warp/.mcp.json) and most clients:

{ "mcpServers": { "runcrate": { "url": "https://mcp.runcrate.ai/mcp" } } }

VS Code (mcp.json in your user profile):

{ "servers": { "runcrate": { "type": "http", "url": "https://mcp.runcrate.ai/mcp" } } }

Windsurf (mcp_config.json): { "mcpServers": { "runcrate": { "serverUrl": "https://mcp.runcrate.ai/mcp" } } }

Zed (settings.json): "context_servers": { "runcrate": { "url": "https://mcp.runcrate.ai/mcp" } }

Gemini CLI (~/.gemini/settings.json): { "mcpServers": { "runcrate": { "httpUrl": "https://mcp.runcrate.ai/mcp" } } }

Codex (~/.codex/config.toml):

[mcp_servers.runcrate]
url = "https://mcp.runcrate.ai/mcp"

Goose (~/.config/goose/config.yaml):

extensions:
  runcrate:
    name: Runcrate
    type: streamable_http
    uri: https://mcp.runcrate.ai/mcp
    enabled: true

Related MCP server: Massed Compute MCP Server

Try it

Launch an H100 with the Finetune crate and run nvidia-smi.

Run python train.py on an A100 as a job, at most 2 hours, and follow the logs.

How much of this month's budget is left?

What is in this repo

The server itself is hosted by Runcrate; this repo only packages the connection. It is listed in the official MCP registry as io.github.aeonmindai/runcrate.

Links

• Docs: https://runcrate.ai/docs/mcp/setup

• Product: https://runcrate.ai/mcp

• CLI: https://github.com/aeonmindai/runcrate-cli

• Support: support@runcrate.ai

MIT licensed.