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ML Referee

Official registry Other

Evaluate ML features beyond a baseline and test bounded feature repairs. Invite-only beta.

Website

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http ml-referee 'https://api.mlreferee.com/mcp'
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "ml-referee": {
            "type": "http",
            "url": "https://api.mlreferee.com/mcp"
        }
    }
}

Frequently asked questions

What is ML Referee?

Evaluate ML features beyond a baseline and test bounded feature repairs. Invite-only beta.

How do I install ML Referee?

It runs as a remote server. In Claude Code: claude mcp add --transport http ml-referee 'https://api.mlreferee.com/mcp'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does ML Referee need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Who maintains ML Referee?

It is published by scarrico. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.