# apache-atlas-mcp

> Use this tool when you need to integrate large language models (LLMs) with Apache Atlas for metadata management, enabling search, lineage tracing, and entity classification. It connects LLM agents to Apache Atlas, allowing for read-only or optional write-mode interactions to create entities and classifications. Ideal for use cases requiring metadata integration, data governance, and AI-driven data discovery.

Canonical page: https://skillsregistry.net/skills/danmeon-apache-atlas-mcp  
JSON: https://api.skillsregistry.net/v1/skills/danmeon-apache-atlas-mcp

## Description

Connects LLM agents to Apache Atlas for searching, tracing lineage, and managing metadata. Read-only by default, with optional write mode for creating entities and classifications.

## Trust

- **Trust score (0–1):** 0.95
- **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/c3jaeg8k1g)
- **Repository:** <https://github.com/DanMeon/apache-atlas-mcp>

## 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": "danmeon-apache-atlas-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/danmeon-apache-atlas-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/danmeon-apache-atlas-mcp/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