Federated AI Commons vs Reglyze MCP

In-depth architectural comparison of the Federated AI Commons and Reglyze MCP MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

Which MCP Server Should You Choose?

Choose Federated AI Commons when:

• You need dedicated capabilities in the Security domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).

Explore Federated AI Commons Details

R

Choose Reglyze MCP when:

• You need dedicated capabilities in the Security domain.
• You prefer remote streaming HTTP/SSE transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).

Explore Reglyze MCP Details

Feature & Specification Comparison

Specification	Federated AI Commons Security	R Reglyze MCP Security
Summary	MCP server for a federated AI-commons governance simulation with a verified compliance oracle.	NIS2 compliance tools: scope check, EU transposition status, per-country incident deadlines.
Category & Scope	Security	Security
Quality signal

Tools & Capabilities Breakdown

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

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

{
  "mcpServers": {
    "mcp-130": {
      "url": "https://reglyze.com/en/mcp"
    }
  }
}

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