Atla
Provides a standardized interface for evaluating LLM responses against single or multiple criteria, returning both nu...
What it does
Provides a standardized interface for evaluating LLM responses against single or multiple criteria, returning both numerical scores and textual critiques
Atla MCP Server provides a standardized interface for LLMs to interact with the Atla API for state-of-the-art LLMJ evaluation. It offers tools for evaluating LLM responses against single or multiple criteria, returning both numerical scores and textual critiques. Built with Python 3.11 and distributed under the MIT license, this server enables AI assistants to leverage Atla's evaluation models for assessing response quality across various dimensions. The implementation supports multiple connection methods including OpenAI Agents SDK, Claude Desktop, and Cursor, making it accessible for developers working with different MCP clients.
Capabilities
Server
Quality
deterministic score 0.59 from registry signals: · indexed on pulsemcp · has source repo · 18 github stars · registry-generated description present