Atla MCP Server
by mikeysrecipes
The Atla MCP Server provides a standardized interface for LLMs to interact with the Atla API for state-of-the-art LLM evaluation. It implements the Model Context Protocol, allowing LLMs to leverage Atla's evaluation capabilities.
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What is Atla MCP Server?
The Atla MCP Server is an implementation of the Model Context Protocol (MCP) that allows LLMs to use the Atla API for evaluating their responses. It provides tools to score and critique LLM outputs based on specified criteria.
How to use Atla MCP Server?
To use the server, you need an Atla API key. Install the server using uvx atla-mcp-server after setting the ATLA_API_KEY environment variable. Then, connect to the server using tools like OpenAI Agents SDK, Claude Desktop, or Cursor, following the provided configuration instructions for each.
Key features of Atla MCP Server
Standardized interface for LLM evaluation
Integration with the Atla API
Provides evaluation scores and textual critiques
Supports multiple evaluation criteria
Compatible with OpenAI Agents SDK, Claude Desktop, and Cursor
Use cases of Atla MCP Server
Evaluating LLM responses to prompts
Comparing the performance of different LLMs
Identifying areas for improvement in LLM responses
Automated LLM evaluation pipelines
FAQ from Atla MCP Server
How do I get an Atla API key?
How do I get an Atla API key?
You can find your existing API key or create a new one at https://www.atla-ai.com/sign-in or https://www.atla-ai.com/sign-up.
What is the Model Context Protocol (MCP)?
What is the Model Context Protocol (MCP)?
The Model Context Protocol (MCP) is a standardized interface for LLMs to interact with external tools and services. Learn more at https://modelcontextprotocol.io.
How do I install the server?
How do I install the server?
We recommend using uv to manage the Python environment. See https://docs.astral.sh/uv/getting-started/installation/ for installation instructions. Then use uvx atla-mcp-server after setting the ATLA_API_KEY environment variable.
What tools are available?
What tools are available?
The server provides the evaluate_llm_response and evaluate_llm_response_on_multiple_criteria tools.
Where can I get help?
Where can I get help?
Feel free to open an issue or contact us at [email protected].