Federated Ai Commons

Overview

Federated Ai Commons is a Model Context Protocol (MCP) server: MCP server for a federated AI-commons governance simulation with a verified compliance oracle. In practice that means any MCP-compatible AI assistant can call Federated Ai Commons's tools directly — the model decides when to use them in a conversation or agent run.

It runs locally: the Python package federated-ai-commons-mcp (via uvx) speaks MCP over stdio on your machine. No credentials are required — it works out of the box. The current release is v0.1.1, published under the Apache-2.0 license, with source at Toby-Self/Federated-AI-Commons-Model on GitHub.

Federated Ai Commons is listed under Security on mcp.site and works with any MCP client — Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed and the rest of the ecosystem — using the install snippets below. If you maintain Federated Ai Commons for Toby-Self, claim this listing to verify ownership, earn the Verified badge, and keep the details current.

Installation

// claude_desktop_config.json
{
  "mcpServers": {
    "federated_ai_commons": {
      "command": "uvx",
      "args": [
        "federated-ai-commons-mcp"
      ]
    }
  }
}