Atla MCP Server

What is Atla MCP Server?

Atla MCP Server is an implementation of an MCP server that provides a standardized interface for Large Language Models (LLMs) to interact with the Atla API and utilize state-of-the-art evaluation models.

How to use Atla MCP Server?

To use Atla MCP Server, clone the repository, set up a Python environment, install dependencies, and run the server locally. You can connect to it using any MCP client like Claude Desktop or Cursor.

Key features of Atla MCP Server?

• Evaluate individual responses with Selene 1.
• Run batch evaluations with Selene 1.
• List available evaluation metrics and create new ones.

Use cases of Atla MCP Server?

1. Integrating LLMs with the Atla API for evaluation tasks.
2. Running batch evaluations for performance analysis.
3. Developing and testing new evaluation metrics.

FAQ from Atla MCP Server?

• What is the purpose of the Atla MCP Server?

It provides a standardized interface for LLMs to interact with the Atla API and evaluation models.

• Is there a remote usage option?

Remote usage is coming soon!

• How can I contribute to the project?

Contributions are welcome! Please refer to the CONTRIBUTING.md file for details.