
AI Agent for Atlan MCP
Integrate your AI agents seamlessly with Atlan using the Model Context Protocol (MCP) server. Enable advanced asset search, lineage traversal, and asset attribute management through secure, scalable deployments. Perfect for teams looking to automate metadata tasks and boost productivity with Atlan’s robust data governance tools.

Powerful Asset Management
Leverage Atlan MCP to enable your agents to search, update, and manage data assets programmatically. Automate repetitive metadata operations and free up your team to focus on strategic data initiatives.
- Advanced Asset Search.
- Use the search_assets tool to find assets based on custom conditions, streamlining data discovery.
- Bulk Update Assets.
- Update asset attributes such as user description and certificate status at scale for effective metadata curation.
- Asset Retrieval by DSL.
- Leverage get_assets_by_dsl to retrieve assets using powerful DSL queries for precise data management.
- Seamless Deployment.
- Deploy via Docker or uv for a quick and secure setup tailored to your infrastructure.

Lineage & Integration Automations
Empower your workflows with asset lineage retrieval and easy integrations with Claude Desktop or Cursor. Monitor and trace data flows while connecting your Atlan MCP server to industry-leading AI platforms.
- Lineage Traversal.
- Quickly retrieve and visualize asset lineage to ensure data traceability and compliance.
- AI Platform Integration.
- Connect with Claude Desktop and Cursor to extend Atlan’s automation with leading AI tools.
- Flexible Cloud Hosting.
- Host the Atlan MCP server on your preferred cloud for reliable, scalable operations.

Developer-Friendly Setup
Install and configure the Atlan MCP server with minimal friction. Choose Docker for zero-dependency deployment or uv for Python-based environments, and get started with comprehensive guides and support.
- Simple Docker Install.
- Deploy in minutes using Docker, with all dependencies managed in-container for maximum reliability.
- Python/uv Option.
- Install via uv for full control in Python-based environments—ideal for local development or custom workflows.
MCP INTEGRATION
Available Atlan MCP Integration Tools
The following tools are available as part of the Atlan MCP integration:
- search_assets
Search for assets based on conditions to quickly locate relevant data within Atlan.
- get_assets_by_dsl
Retrieve assets using a DSL query, allowing flexible and advanced data selection.
- traverse_lineage
Retrieve lineage for an asset to understand data flow and dependencies.
- update_assets
Update asset attributes such as user description and certificate status.
Supercharge Your AI Agents with Atlan MCP
Easily connect your AI tools to Atlan’s powerful data services using the Model Context Protocol server. Get started in minutes with Docker or uv and unlock seamless asset management, search, and lineage features for your workflows.
What is Atlan
Atlan is a leading active metadata platform designed for modern data teams. It empowers organizations to discover, understand, trust, and collaborate on their data assets by integrating metadata from diverse sources across the data stack. Atlan provides a unified control plane for data governance, quality, discovery, and collaboration, making data AI-ready and enabling effortless compliance and business context enrichment. Trusted by industry leaders like Nasdaq, General Motors, Fox, Autodesk, and HubSpot, Atlan helps companies unlock the full potential of their data by offering deep integrations, role-based access, column-level lineage, and an open API infrastructure for automation. Its intuitive search, business glossary, and active metadata enrichment facilitate seamless collaboration, making data accessible and actionable for both technical and business users.
Capabilities
What we can do with Atlan
Atlan’s platform enables a wide range of powerful capabilities for data teams and organizations, making data management and governance seamless and collaborative.
- Data Discovery
- Effortlessly search and discover data assets across your organization using natural language or technical queries.
- End-to-End Data Lineage
- Visualize column-level data lineage from source to dashboard for transparency and impact analysis.
- Active Data Governance
- Implement robust, context-rich governance with automated compliance, trust signals, and role-based access control.
- Business Glossary
- Build and centralize business definitions, bringing context directly into BI tools and collaboration platforms.
- Automated Metadata Enrichment
- Free up time by automating the enrichment and categorization of metadata across your data landscape.
How AI Agents Can Benefit from Atlan
AI agents can leverage Atlan to access high-quality, well-governed, and context-rich data, accelerating the development and deployment of AI solutions. By tapping into Atlan’s active metadata, AI agents can automate data discovery, ensure compliance, and maintain data trustworthiness. The platform’s open APIs and integration capabilities allow AI agents to orchestrate workflows, enrich metadata, and interact with data assets programmatically, enabling scalable, intelligent data operations for advanced analytics and machine learning.