What is the key difference between Federated Ai Commons and OntoRamp Governance Assessment?

Federated Ai Commons belongs to the Security category with local stdio execution, while OntoRamp Governance Assessment belongs to the Security category with cloud HTTP/SSE execution.

How do I install Federated Ai Commons or OntoRamp Governance Assessment 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.

Which MCP server has more tools and community activity?

Federated Ai Commons lists 0 tools with 0 views and 0 GitHub stars. OntoRamp Governance Assessment lists 0 tools with 0 views and 0 GitHub stars.

Can I use both Federated Ai Commons and OntoRamp Governance Assessment 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 OntoRamp Governance Assessment 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 OntoRamp Governance Assessment free to use, or do they require API keys?

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

Yes! MCP clients support multi-server orchestration. You can include both federated-ai-commons and ontoramp-governance-assessment 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 0 views, 0 installs, and 0 GitHub stars. OntoRamp Governance Assessment holds a Quality Score of 42 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Federated Ai Commons vs OntoRamp Governance Assessment

Q: Are Federated Ai Commons and OntoRamp Governance Assessment free or paid?

Federated Ai Commons operates under a Free / Open Source model (No auth required). OntoRamp Governance Assessment operates under a Free / Open Source model (No auth required).

In-depth architectural comparison of the Federated Ai Commons and OntoRamp Governance Assessment 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

OntoRamp Governance Assessment

Security · Remote HTTP/SSE

Quality: 42/100 (Fair) | Auth: No auth required

Verdict Summary: Choose Federated Ai Commons if you need specialized Security tools running via a local process. Choose OntoRamp Governance Assessment 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 OntoRamp Governance Assessment 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 OntoRamp Governance Assessment Details

Feature & Specification Comparison

Specification	F Federated Ai Commons Security	O OntoRamp Governance Assessment Security
Summary	MCP server for a federated AI-commons governance simulation with a verified compliance oracle.	Governance maturity assessment, compliance gap analysis, and evidence-linked briefs for AI agents.
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.

OntoRamp Governance Assessment 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"
      ]
    }
  }
}

OntoRamp Governance Assessment Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "ontoramp-governance-assessment": {
      "url": "https://ontoramp.com/mcp"
    }
  }
}

Frequently Asked Questions

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

More alternatives to Federated Ai Commons More alternatives to OntoRamp Governance Assessment Security category hub