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MCP server

Give your agents access to the world's compute

Shadeform's MCP Server connects your AI agents to our unified compute platform, so they can find, compare, and deploy compute across our global cloud network.

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Built for teams putting agents to work

Self-provisioning agents
Agents spin up the GPUs or CPUs a task needs and shut them down when it's done.
Automated evaluation
Run the same job across GPU types and providers, then compare price and performance.
Idle cleanup
Ask what's running and have anything idle shut down.
Reusable environments
Save templates with your container image and settings, so agents launch the same setup every time.

Request compute in plain language

Ask for what you need, like the lowest-priced H100. Your agents can see every option across our cloud network and launch the best match.

Every Shadeform capability, as agent tools

Search, compare, launch, monitor and shut down instances, on-demand or Spot, from inside the agent your team already uses.

Works with your favorite clients

Shadeform's MCP Server works with every MCP-compatible client. Connect from Claude, ChatGPT, Cursor, Codex, Antigravity, Open Code, VS Code, and more.

Questions about Shadeform MCP Server?

The Shadeform MCP Server is a Model Context Protocol (MCP) server that gives AI agents direct access to Shadeform. Agents can search capacity, compare prices, and launch and manage GPU and CPU instances across our cloud network.

Any client that supports the Model Context Protocol, including popular AI assistants and coding tools. Setup guides for each are in the docs.

Add the Shadeform MCP Server to your client's MCP settings and authenticate with your Shadeform API key. Step-by-step instructions are in the docs.

Every instance an agent launches runs on your account and appears in your Shadeform console. You can also ask your agents to keep track of your running instances.

There's no separate charge for Shadeform MCP Server. You pay only for the compute your agents launch.