What is a #ai-evaluation MCP server?
An MCP server tagged #ai-evaluation implements the Model Context Protocol so AI assistants like Claude, Cursor, and VS Code can access ai-evaluation-related tools, data, or APIs.
Every MCP server and client below is tagged #ai-evaluation — install one to give Claude, Cursor, VS Code, or any other MCP-compatible client access to ai-evaluation tools.
suysoftware
A Model Context Protocol (MCP) server that provides seamless integration with the Judgment API for AI evaluation workflows. This server enables you to manage datasets, run evaluations, and track traces directly from your MCP-compatible environment.
AlligatorC0der
Conkurrence measures whether multiple AI models produce consistent outputs on your evaluation tasks. It tells you which items your AI agrees on and which need human review — using Fleiss' κ, Kendall's W, and bootstrap confidence intervals, the same psychometric methods trusted in
Common questions about MCP servers and clients tagged #ai-evaluation
An MCP server tagged #ai-evaluation implements the Model Context Protocol so AI assistants like Claude, Cursor, and VS Code can access ai-evaluation-related tools, data, or APIs.
mcp.so currently lists 2 MCP servers and clients tagged #ai-evaluation.
Open any server below and copy its install snippet into Claude Desktop, Cursor, VS Code, or another MCP client's configuration — remote servers need no separate download.