About Runcrate
Runcrate is a GPU cloud service for AI developers and agents, with tools to launch instances, run jobs, schedule work, move files, and check spending. Its MCP server uses browser-based OAuth and applies the selected environment's monthly budget.
Key features
- 01View live GPU prices
- 02Launch GPUs on ready images
- 03Run jobs that stop machines on exit
- 04Schedule runs and move files
- 05Check spending and manage environments
Use cases
- 01Launch a GPU for a command-line task
- 02Run a training script and follow logs
- 03Schedule recurring GPU jobs
- 04Review remaining monthly budget
MCP support
The hosted Streamable HTTP MCP server exposes 47 tools for instances, jobs, schedules, files, volumes, firewall and HTTPS links, billing, environments, and secret names. It authenticates through browser OAuth and limits actions to the selected environment and its monthly budget.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://mcp.runcrate.ai/mcpclaude mcp add --transport http aeonmindai-runcrate https://mcp.runcrate.ai/mcp{"mcpServers":{"aeonmindai-runcrate":{"type":"http","url":"https://mcp.runcrate.ai/mcp"}}}Open in Cursor{"servers":{"aeonmindai-runcrate":{"type":"http","url":"https://mcp.runcrate.ai/mcp"}}}Open in VS Code{"mcpServers":{"aeonmindai-runcrate":{"type":"http","url":"https://mcp.runcrate.ai/mcp"}}}{"mcpServers":{"aeonmindai-runcrate":{"serverUrl":"https://mcp.runcrate.ai/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project README
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.
- 47 tools: instances, jobs, schedules, files, volumes, firewall and HTTPS links, billing, environments and secret names. 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
Paste this one line into your agent: Claude Code, Codex, Cursor, VS Code, OpenCode, or any agent that can run a command. It adds the server to itself, and its first Runcrate tool call opens your browser to sign in.
Add Runcrate's MCP server to yourself: run curl -fsSL "https://runcrate.ai/mcp.md" and follow it.
Or one click:
In Claude Code, the plugin adds the server and a skill that teaches Claude how to spend safely: /plugin marketplace add runcrateai/runcrate-mcp, then /plugin install runcrate@runcrate. In Gemini CLI: gemini extensions install https://github.com/runcrateai/runcrate-mcp.
Claude and ChatGPT on the web can't run a command, so they take the URL as a custom connector (steps below).
Set it up by hand
With the Runcrate CLI, one command connects every client it finds on your machine:
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.
Claude (claude.ai and Claude Desktop)
- Open Settings > Connectors and choose Add custom connector.
- Name it
Runcrateand pastehttps://mcp.runcrate.ai/mcp. - Choose Connect and sign in to Runcrate in the window that opens.
ChatGPT
- Open chatgpt.com/plugins, choose +, then Add custom MCP server.
- Name it
Runcrateand pastehttps://mcp.runcrate.ai/mcpas the URL, with OAuth. - Create it, sign in to Runcrate, then mention
@Runcratein 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.
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.
Config files
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
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
| File | For |
|---|---|
.claude-plugin/ and .mcp.json | Claude Code plugin and marketplace |
plugin.json and mcp.json | Agent Plugins package (Cursor, ChatGPT, Codex) |
.cursor-plugin/plugin.json | Cursor Marketplace |
gemini-extension.json | Gemini CLI extension |
skills/runcrate/SKILL.md | The skill every package ships: how to pick jobs or instances and keep spend in check |
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/runcrateai/runcrate-cli
- Support: [email protected]
- Privacy: https://www.runcrate.ai/privacy
- Terms: https://www.runcrate.ai/terms
MIT licensed.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.