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Federated Ai Commons

MCP server · by Toby-Self

Legal & Compliance Python v0.1.1

MCP server for a federated AI-commons governance simulation with a verified compliance oracle.

View source ↗ More servers

Install

Run one of the commands below, then add the client config underneath.

Pythonuvx federated-ai-commons-mcp

Client configuration

Paste into Claude Desktop, Cursor (mcp.json), VS Code or any MCP client, then restart the client.

mcpServers{
  "mcpServers": {
    "federated-ai-commons": {
      "command": "uvx",
      "args": [
        "federated-ai-commons-mcp"
      ]
    }
  }
}

About this server

Federated Ai Commons is listed in the Legal & Compliance category of the MCPNav directory. It is distributed as Python and can be loaded by any client that speaks the Model Context Protocol.

Typical uses include giving your assistant scoped access to the corresponding service so it can answer questions and take actions with real data instead of guessing. Always review what a server can access before you enable it — see our MCP security guide.

Frequently asked questions

What is the Federated Ai Commons MCP server?

Federated Ai Commons is an MCP server by Toby-Self. MCP server for a federated AI-commons governance simulation with a verified compliance oracle.

How do I install Federated Ai Commons?

Install it with: uvx federated-ai-commons-mcp. Then add the JSON config to your client's MCP settings and restart the client.

Is Federated Ai Commons free to use?

The MCP server itself is free to install. The source is public on https://github.com/Toby-Self/Federated-AI-Commons-Model. Any third-party API it calls (such as a search or maps API) may require its own key and billing.

Which clients support Federated Ai Commons?

Any MCP-compatible client can use it, including Claude Desktop, Cursor, VS Code, Windsurf and custom agents.