atla-ai_atla-mcp-server
If you are the rightful owner of atla-ai_atla-mcp-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
The Atla MCP Server provides a standardized interface for LLMs to interact with the Atla API for state-of-the-art LLMJ evaluation.
The Atla MCP Server is a robust implementation designed to facilitate seamless interaction between large language models (LLMs) and the Atla API. This server leverages the Model Context Protocol (MCP) to provide a standardized interface, ensuring that LLMs can be evaluated effectively using Atla's state-of-the-art evaluation models. By integrating with the Atla API, the server allows users to assess the performance of LLMs based on various criteria, providing both quantitative scores and qualitative feedback. This makes it an invaluable tool for developers and researchers looking to optimize their LLMs' performance. The server is designed to be user-friendly, requiring only an Atla API key for access, and can be easily integrated with various platforms using the OpenAI Agents SDK, Claude Desktop, and Cursor.
Features
- Standardized Interface: Provides a consistent way for LLMs to interact with the Atla API.
- Comprehensive Evaluation: Uses Atla's evaluation models to score and critique LLM responses.
- Multi-Criteria Assessment: Allows evaluation across multiple criteria for a thorough analysis.
- Easy Integration: Compatible with various platforms like OpenAI Agents SDK, Claude Desktop, and Cursor.
- User-Friendly: Simple setup with an Atla API key and easy-to-follow installation instructions.
Tools
evaluate_llm_response
Evaluate an LLM's response to a prompt using a given evaluation criteria.
evaluate_llm_response_on_multiple_criteria
Evaluate an LLM's response to a prompt across multiple evaluation criteria.