What is the key difference between Federated Ai Commons and Control Plane?

Federated Ai Commons belongs to the Security category with local stdio execution, while Control Plane belongs to the Security category with cloud HTTP/SSE execution.

How do I install Federated Ai Commons or Control Plane in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are Federated Ai Commons and Control Plane free or paid?

Federated Ai Commons operates under a Free / Open Source model (No auth required). Control Plane operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Federated Ai Commons lists 0 tools with 1 views and 0 GitHub stars. Control Plane lists 0 tools with 0 views and 3 GitHub stars.

Can I use both Federated Ai Commons and Control Plane together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

How do I install Federated Ai Commons or Control Plane in Claude Desktop, Cursor, or Windsurf?

Both servers follow the standard Model Context Protocol configuration format. Simply copy the JSON block from the configuration section above and paste it into your AI client's mcpServers configuration object (for instance in claude_desktop_config.json or ~/.cursor/mcp.json ), then completely restart or refresh the application.

Are Federated Ai Commons and Control Plane free to use, or do they require API keys?

Federated Ai Commons is listed under a Free / Open Source model with No auth required . Control Plane operates under a Free / Open Source model with No auth required . If environment variables are required (such as API keys), be sure to define them under the env key in your MCP client's configuration file.

Can I run both Federated Ai Commons and Control Plane at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both federated-ai-commons and control-plane as distinct keys inside the single mcpServers object in your configuration file. Your AI assistant will automatically select and call the appropriate tool from either server during chat sessions.

Which MCP server has higher directory engagement and quality ratings?

On AllMCPs, Federated Ai Commons has a Quality Score of 27 /100 ( Emerging ) with 1 views, 0 installs, and 0 GitHub stars. Control Plane holds a Quality Score of 39 /100 ( Fair ) with 0 views, 0 installs, and 3 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Federated Ai Commons vs Control Plane

In-depth architectural comparison of the Federated Ai Commons and Control Plane 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.

At a Glance & Executive Verdict

Federated Ai Commons

Security · Local stdio

Quality: 27/100 (Emerging) | Auth: No auth required

Control Plane

Security · Remote HTTP/SSE

Quality: 39/100 (Fair) | Auth: No auth required

Verdict Summary: Choose Federated Ai Commons if you need specialized Security tools running via a local process. Choose Control Plane if your workspace requires Security integration with remote web transport. Both servers can be configured concurrently in your client's mcpServers manifest.

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

Choose Control Plane 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 Control Plane Details

Feature & Specification Comparison

Specification	F Federated Ai Commons Security	Control Plane Security
Summary	MCP server for a federated AI-commons governance simulation with a verified compliance oracle.	Enterprise AI governance: spend, guardrails, policy, budgets, compliance, and provider health.
Category & Scope	Security	Security
Quality signal

Tools & Capabilities Breakdown

Federated Ai Commons Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

Control Plane Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

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).

Federated Ai Commons Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "federated-ai-commons": {
      "command": "npx",
      "args": [
        "-y",
        "federated-ai-commons"
      ]
    }
  }
}

Control Plane Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "control-plane": {
      "url": "https://thinkneo.ai"
    }
  }
}

Frequently Asked Questions

Federated Ai Commons is categorized under Security and uses a local stdio subprocess. In contrast, Control Plane belongs to Security using remote streaming HTTP/SSE transport. Select Federated Ai Commons when you need capabilities focused on security and Control Plane when you require tools for security.

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