# Atlan MCP Server - Integrate Atlan Services for AI & Automation

> Connect your agents & tools to Atlan's active metadata platform. The official Atlan Model Context Protocol server unlocks data discovery, governance, & lineage for AI and automated workflows.

- **URL**: https://agentpedia.codes/mcp/atlan

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- **Source**: [https://github.com/atlanhq/agent-toolkit/tree/main/modelcontextprotocol](https://github.com/atlanhq/agent-toolkit/tree/main/modelcontextprotocol)
- **Category**: Official
- **Publisher**: Atlan
- **Tags**: api, data-analysis, ml-ai, tools, productivity
- **Status**: verified
- **Last updated**: 2025-11-30

## About

The Atlan Model Context Protocol (MCP) server acts as a crucial bridge, enabling seamless interaction between various agent-based tools and the comprehensive Atlan data platform. By implementing the Model Context Protocol, this server allows developers to programmatically access and manipulate the rich metadata, data governance policies, and data lineage information managed within Atlan. This empowers AI agents, custom scripts, and other automated processes to understand, utilize, and even influence the context of data assets across an organization's entire data estate, making data more actionable and intelligent.

Developers can leverage the Atlan MCP server to build intelligent applications that are deeply aware of their data landscape. Instead of manually integrating with Atlan's APIs, the MCP provides a standardized, protocol-driven interface, simplifying the development of data-centric agents. This opens up possibilities for automated data discovery, enhanced data quality checks based on Atlan's insights, and intelligent data governance enforcement, all driven by external tools operating through a unified context layer. The server's official backing from Atlan ensures robust integration and ongoing support, making it an essential component for any organization looking to extend Atlan's capabilities into their automated workflows and AI initiatives.

## Use cases

- Enable AI agents to perform intelligent data discovery by querying Atlan's metadata for relevant datasets, descriptions, and owners.
- Automate data governance policy enforcement by allowing scripts to retrieve and apply Atlan-defined rules (e.g., PII masking, access controls) to new or modified data assets.
- Provide contextual information to LLMs and reporting tools by fetching data lineage, business glossary terms, and column definitions directly from Atlan.
- Implement proactive data quality monitoring by integrating custom tools to retrieve and validate data against quality rules defined and managed within Atlan.
- Automate metadata enrichment for newly ingested data by pushing custom tags, classifications, or usage statistics directly into Atlan's active metadata platform.

## Setup

1. Visit the official repository at the URL provided above
2. Review the README.md file for specific installation instructions
3. Install the MCP server using npm, pip, or the recommended package manager
4. Configure the server with your API keys or credentials (if required)
5. Add the server to your MCP client configuration (e.g., Antigravity, Cursor, Claude)
6. Restart your MCP client to load the new server
7. Test the connection by invoking a tool or resource from the server