spisupat/atla-mcp-server
If you are the rightful owner of 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.
An MCP server implementation that provides a standardized interface for LLMs to interact with the Atla SDK and use state-of-the-art evaluation models.
The Atla MCP Server is a robust implementation designed to facilitate seamless interaction between large language models (LLMs) and the Atla SDK. It leverages the Selene 1 evaluation model to provide high-quality assessments of individual and batch responses. This server is particularly useful for developers and researchers who need to evaluate the performance of their language models using advanced metrics. By integrating with the Atla SDK, users can access a range of evaluation metrics, create new ones, or fetch existing metrics by name. The server is designed to be flexible and can be used with various platforms, including OpenAI Agents SDK, Claude Desktop, and Cursor, making it a versatile tool for enhancing the quality of LLM outputs.
Features
- Evaluate individual responses with Selene 1
- Run batch evaluations with Selene 1
- List available evaluation metrics, create new ones or fetch them by name
