# Atla

> Use this tool when you need to evaluate and interact with large language models (LLMs) using a standardized interface. The Atla MCP Server solves problems related to LLM evaluation and interaction by providing a state-of-the-art LLMJ evaluation API. It takes LLM inputs and outputs evaluation results, making it ideal for use cases requiring accurate and efficient LLM assessment.

Canonical page: https://skillsregistry.net/skills/atla-ai-atla-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/atla-ai-atla-mcp-server

## Description

The Atla MCP Server provides a standardized interface for LLMs to interact with the Atla API for state-of-the-art LLMJ evaluation.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/agm3vxdtdx)
- **Repository:** <https://github.com/atla-ai/atla-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "atla-ai-atla-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/atla-ai-atla-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/atla-ai-atla-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt