Enable AI agents to interact with the Atla API for state-of-the-art LLMJ evaluation.
Atla mcp server connects Atla to AI assistants that speak the Model Context Protocol. Enable AI agents to interact with the Atla API for state-of-the-art LLMJ evaluation.
An MCP server implementation providing a standardized interface for LLMs to interact with the Atla API for state-of-the-art LLMJ evaluation.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| evaluate_llm_response | Evaluate an LLM's response to a prompt using a given evaluation criteria. This function uses an Atla evaluation model under the hood to return a dictionary cont |
| evaluate_llm_response_on_multiple_criteria | Evaluate an LLM's response to a prompt across _multiple_ evaluation criteria. This function uses an Atla evaluation model under the hood to return a list of dic |
{
"mcpServers": {
"atla-mcp-server": {
"command": "uvx",
"args": [
"atla-mcp-server"
],
"env": {
"ATLA_API_KEY": "YOUR_ATLA_API_KEY"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| ATLA_API_KEY | Declared in the maintainer’s client configuration. | Check documentation |
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This repository contains a **minimal [Model Context Protocol](https://modelcontextprotocol.io) server** that exposes one tool –