Atlan
Official MCP Server from Atlan which enables you to bring the power of metadata to your AI tools
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Overview
> [!WARNING] > This local MCP server is deprecated. Use the hosted Atlan MCP at mcp.atlan.com/mcp instead. > > The local install path (Docker, uv, or pip install atlan-mcp-server) is in maintenance-only mode — no new features, support not guaranteed. The hosted endpoint is the recommended way to integrate Atlan with Claude Desktop, Cursor, Codex, Databricks UC, and other MCP clients. See the Atlan MCP overview for setup. The Atlan Model Context Protocol server allows your AI agents to interact with Atlan services.
Installation
docker --version
Configuration
{
"mcpServers": {
"atlan": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"ATLAN_API_KEY=<YOUR_API_KEY>",
"-e",
"ATLAN_BASE_URL=https://<YOUR_INSTANCE>.atlan.com",
"-e",
"ATLAN_AGENT_ID=<YOUR_AGENT_ID>",
"ghcr.io/atlanhq/atlan-mcp-server:latest"
]
}
}Capabilities
- Search for assets
Find data assets using conditions with `search_assets`.
- Retrieve assets via DSL
Fetch assets using a domain-specific language query with `get_assets_by_dsl`.
- Explore data lineage
Trace upstream and downstream relationships for an asset using `traverse_lineage`.
- Update asset metadata
Modify user descriptions and certificate status on assets via `update_assets`.
- Manage business glossaries
Create glossaries, categories, and terms using `create_glossaries`, `create_glossary_categories`, and `create_glossary_terms`.
- Govern data quality rules
Create, update, schedule, and delete data quality rules with `create_dq_rules`, `update_dq_rules`, `schedule_dq_rules`, and `delete_dq_rules`.
Tags
- database
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