What is Atla MCP Server used for?
It provides a standardized interface for LLMs to evaluate responses using Atla’s evaluation models, such as Selene 1.
@spisupat
Basic information
Initial version of an mcp server for agents to interact with atla's models
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"atla-mcp-server": {
"command": "uv",
"args": [
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
An MCP server implementation that provides a standardized interface for LLMs to interact with the Atla SDK, enabling access to state-of-the-art evaluation models like Selene 1. It is intended for developers building AI agents that need automated quality evaluation of responses.
Install the server by cloning the repository, installing dependencies with uv venv and uv sync, and setting the ATLA_API_KEY environment variable. Then configure it as an MCP server in OpenAI Agents SDK, Claude Desktop, or Cursor using the provided JSON configurations.
It provides a standardized interface for LLMs to evaluate responses using Atla’s evaluation models, such as Selene 1.
You need Python, `uv` installed on your system, and an `ATLA_API_KEY`. For OpenAI Agents integration, you also need the `OPENAI_API_KEY` environment variable.
Your `ATLA_API_KEY` can be obtained from your Atla account at https://www.atla-ai.com/sign-in.
The server uses the stdio transport protocol, configured as a local MCP server via command-line execution.
Atla MCP Server can be used with OpenAI Agents SDK, Claude Desktop, and Cursor MCP clients.

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