Nosana MCP: let AI agents rent GPUs on Nosana and deploy templates such as MiniMax H3 with account credits. MCP server + nosana-deploy CLI.
Let your AI agent rent a GPU and deploy models on Nosana. Nosana MCP is a Model Context Protocol server that gives Claude Code, Claude Desktop, Cursor, Codex, OpenClaw and any other MCP client the tools to browse Nosana's ready-to-run templates (MiniMax H3 video, Qwen and Gemma LLMs, ComfyUI, Jupyter, VS Code), compare GPU markets by live price and availability, estimate the cost, deploy, and hand back the running endpoint. Everything is paid with Nosana account credits through a single API key. No wallet, no tokens.
"Deploy MiniMax H3 on an RTX 5090 and give me the ComfyUI link." The agent checks your credits, picks the 32 GB variant, shows you the price (about 0.40 credits per hour on a 5090), waits for your yes, deploys, polls until ComfyUI answers, and returns the URL. When you are done: "stop it".
A companion CLI, nosana-deploy, ships in the same package for humans, scripts and CI. See docs/CLI.md.
1. Sign in at deploy.nosana.com. 2. Billing: add credits with a card or crypto. 3. Account API Keys Create Key. Copy it once.
Claude Desktop, Cursor, Windsurf and most other clients take the same JSON:
Instead of the environment variable you can run nosana-deploy login once; the server also reads the key that command stores in ~/.config/nosana-deploy/config.json.
- "Deploy Qwen 3.6 27B on the cheapest idle GPU and give me the OpenAI-compatible URL." - "Deploy MiniMax H3 image-to-video. If no 5090 is idle, show me the alternatives." - "What is running right now and what does it cost per hour?" / "Stop everything."
From the project README.
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