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.
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基本信息
Initial version of an mcp server for agents to interact with atla's models
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"atla-mcp-server": {
"command": "uv",
"args": [
"venv"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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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