Files
google__adk-docs/docs/integrations/atlan.md
Abhinav Mathur 3fd7553c6d docs(integration): add Atlan with updated copy and full tool list (#1757)
* docs(atlan): add Atlan integration page with updated copy and full tool list

Adds the Atlan MCP integration page for ADK. Positions Atlan as
the context layer for enterprise AI (not a data catalog), matching
the copy used in the VS Code and Cursor IDE extensions. Includes
the complete set of 28 tools exposed by the hosted MCP server,
organized by capability.

* Formatting edits

* Formatting in use case bullets

---------

Co-authored-by: Kristopher Overholt <koverholt@google.com>
2026-05-12 11:34:45 -05:00

6.9 KiB

catalog_title, catalog_description, catalog_icon, catalog_tags
catalog_title catalog_description catalog_icon catalog_tags
Atlan Search, explore, and govern metadata, lineage, and business knowledge /integrations/assets/atlan.png
mcp

Atlan MCP tool for ADK

Supported in ADKPythonTypeScript

The Atlan MCP Server connects your ADK agent to Atlan, the context layer for enterprise AI, giving your agent access to your organization's context repos: the knowledge, data, and semantics your AI agents need to build effectively. This integration gives your agent the ability to search and discover enterprise context, traverse end-to-end lineage, access governed data definitions and glossaries, execute SQL, curate your metadata graph, and ensure data quality, so every agent task is grounded in trusted organizational context.

Use cases

  • Search and discover enterprise context: Find tables, columns, dashboards, glossary terms, and data products across your entire stack with natural language.

  • Traverse end-to-end lineage: Trace data flow upstream and downstream across systems to understand dependencies before a schema change.

  • Access governed data definitions: Use glossaries, data domains, and certified metadata to ground agent output in trusted organizational context.

  • Curate your metadata graph: Update descriptions, certify assets, manage glossaries, define data quality rules and schedules, and execute SQL, all from your agent.

Prerequisites

  • An Atlan tenant
  • An Atlan account with permissions to access the assets you want to query
  • Node.js installed locally (used by mcp-remote to bridge to the hosted MCP server)

Use with agent

=== "Python"

=== "Local MCP Server"

    ```python
    from google.adk.agents import Agent
    from google.adk.tools.mcp_tool import McpToolset
    from google.adk.tools.mcp_tool.mcp_session_manager import StdioConnectionParams
    from mcp import StdioServerParameters


    root_agent = Agent(
        model="gemini-flash-latest",
        name="atlan_agent",
        instruction="Help users search, discover, and manage enterprise data assets using Atlan",
        tools=[
            McpToolset(
                connection_params=StdioConnectionParams(
                    server_params=StdioServerParameters(
                        command="npx",
                        args=[
                            "-y",
                            "mcp-remote",
                            "https://mcp.atlan.com/mcp",
                        ]
                    ),
                    timeout=30,
                ),
            )
        ],
    )
    ```

=== "TypeScript"

=== "Local MCP Server"

    ```typescript
    import { LlmAgent, MCPToolset } from "@google/adk";

    const rootAgent = new LlmAgent({
        model: "gemini-flash-latest",
        name: "atlan_agent",
        instruction: "Help users search, discover, and manage enterprise data assets using Atlan",
        tools: [
            new MCPToolset({
                type: "StdioConnectionParams",
                serverParams: {
                    command: "npx",
                    args: [
                        "-y",
                        "mcp-remote",
                        "https://mcp.atlan.com/mcp",
                    ],
                },
            }),
        ],
    });

    export { rootAgent };
    ```

!!! note

When you run this agent for the first time, a browser window opens
automatically to request access via OAuth. Alternatively, you can use the
authorization URL printed in the console. You must approve this request to
allow the agent to access your Atlan tenant.

Available tools

Tool Description
semantic_search_tool Natural-language search across all data assets using AI-powered semantic understanding
search_assets_tool Search assets using structured filters and conditions
traverse_lineage_tool Trace data flow upstream (sources) or downstream (consumers) for an asset
query_assets_tool Execute SQL queries against connected data sources
get_asset_tool Get detailed information about a single asset by GUID or qualified name (including custom metadata, data quality checks, and README)
resolve_metadata_tool Discover metadata entities by name or description (users, classifications, custom metadata sets, glossaries, domains, data products)
get_groups_tool List workspace groups and their members
search_atlan_docs_tool Search Atlan's product documentation and return an LLM-generated answer with source citations

Asset updates

Tool Description
update_assets_tool Update asset descriptions, certificate status, README, or terms
manage_announcements_tool Add or remove announcements (information, warning, issue) on assets
manage_asset_lifecycle_tool Archive, restore, or permanently purge assets

Glossaries and domains

Tool Description
create_glossaries Create new glossaries
create_glossary_terms Create terms within glossaries
create_glossary_categories Create categories within glossaries
create_domains Create data domains and subdomains
create_data_products Create data products linked to domains and assets

Data quality rules

Tool Description
create_dq_rules_tool Create data quality rules (null checks, uniqueness, regex, custom SQL, etc.)
update_dq_rules_tool Update existing data quality rules
schedule_dq_rules_tool Schedule data quality rule execution with cron expressions
delete_dq_rules_tool Delete data quality rules

Custom metadata

Tool Description
create_custom_metadata_set_tool Create custom metadata sets with typed attributes
add_attributes_to_cm_set_tool Add new attributes to an existing custom metadata set
remove_attributes_from_cm_set_tool Archive (soft-delete) attributes from a custom metadata set
delete_custom_metadata_set_tool Permanently delete a custom metadata set and clear its values from all assets
update_custom_metadata_tool Update custom metadata values on one or more assets
remove_custom_metadata_tool Remove a custom metadata set's values from an asset

Atlan tags

Tool Description
add_atlan_tags_tool Add Atlan tags to one or more assets
remove_atlan_tag_tool Remove an Atlan tag from one or more assets

Additional resources