Overview
Drive compute jobs from any AI agent. The ON MCP server exposes ~80 tools over the Model Context Protocol.
ON MCP is a Model Context Protocol server that bridges AI agents to the Ocean Network. Connect it to Claude, Cursor, ChatGPT, Gemini or VS Code / GitHub Copilot, and the agent can discover compute providers, write and validate C2D algorithms, run free or paid jobs, and manage persistent storage all in natural language.
It exposes roughly 80 MCP tools plus searchable documentation resources, mapping the full surface of Ocean's ocean-node and libp2p capabilities into something an agent can use directly.
How it works
The server is P2P-first: on startup it joins the Ocean libp2p network, so it discovers and talks to nodes directly over the DHT rather than depending on a single HTTP gateway. When your agent asks for compute, it resolves a node, negotiates an environment, runs the job near the data, and pulls back only the results.
The three flows
Once connected, the agent can work along three flows:
Demand side: run a job. Find a provider, write an algorithm, and run free or paid compute against a URL or a private file.
Supply side: publish data. Make datasets and algorithms available on the network.
Node operation. Inspect node status, environments, and jobs.
Your keys stay with you
The server never holds your funds and never signs anything. On-chain operations (paying for compute, escrow deposits) return unsigned transactions, you authorize and broadcast them yourself, e.g. on the Ocean Network Dashboard. For quick, free experiments the server can use an ephemeral key, so you can run real compute with no wallet at all.
Next steps
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