Atla
Provides a standardized interface for Large Language Models (LLMs) to interact with the Atla API for LLM evaluation.
About
Atla offers a Model Context Protocol (MCP) server implementation designed to facilitate the interaction between Large Language Models (LLMs) and the Atla API. This server streamlines the process of evaluating LLMs by providing tools to assess response quality against specific criteria, offering both a score and a textual critique. It supports single and multiple criteria evaluations, making it a versatile solution for comprehensive LLM performance analysis.
Key Features
- 2 GitHub stars
- Evaluate LLM responses against specified criteria.
- Generate textual critiques providing feedback on LLM performance.
- Supports evaluation across multiple criteria simultaneously.
- Uses Atla evaluation models for scoring and critique generation.
Use Cases
- Integrating Atla evaluation capabilities with OpenAI Agents SDK.
- Connecting to the Atla MCP server via Claude Desktop.
- Configuring Atla for use with Cursor.
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