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

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

How do I install Control Plane or Federated Ai Commons 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 Control Plane and Federated Ai Commons free or paid?

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

Which MCP server has more tools and community activity?

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

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

Control Plane is listed under a Free / Open Source model with No auth required . Federated Ai Commons 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 Control Plane and Federated Ai Commons at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both control-plane and federated-ai-commons 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, Control Plane has a Quality Score of 39 /100 ( Fair ) with 0 views, 0 installs, and 3 GitHub stars. Federated Ai Commons holds a Quality Score of 27 /100 ( Emerging ) with 1 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Control Plane vs Federated Ai Commons

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

Control Plane

Security · Remote HTTP/SSE

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

Federated Ai Commons

Security · Local stdio

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

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

Which MCP Server Should You Choose?

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

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

Feature & Specification Comparison

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

Tools & Capabilities Breakdown

Control Plane Tools (0)

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

Federated Ai Commons 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).

Control Plane Configuration

mcpServers (Claude Desktop / Cursor)

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

Federated Ai Commons Configuration

mcpServers (Claude Desktop / Cursor)

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

Frequently Asked Questions

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

More alternatives to Control Plane More alternatives to Federated Ai Commons Security category hub