#evals

Check your AI agents' cost, errors, latency & quality — and fix issues — from Claude or Cursor.

A Model Context Protocol server bridging LLM agents to the Prolific public API. Built with FastMCP. Listed on the official MCP Registry — discoverable from Claude Desktop, Cursor, Claude Code, and other MCP-aware clients. Exposes a small set of tools so an LLM can help a researcher design and launch a study on Prolific.

MCP for Root Signals Evaluation Platform

A Node.js package and GitHub Action for evaluating MCP (Model Context Protocol) tool implementations using LLM-based scoring. This helps ensure your MCP server's tools are working correctly and performing well.

An MCP server that exposes Root Signals evaluators as tools for AI assistants & agents, allowing them to evaluate responses against various quality criteria.

An MCP server implementation providing a standardized interface for LLMs to interact with the Atla API for state-of-the-art LLMJ evaluation.