How to Use the Atlan MCP in Google ADK

Q: Does Google ADK support all Atlan search tools?

The McpToolset supports all six tools, including searchassets and listglossaries. You can restrict them using the toolnames filter if you only need a subset.

Q: Can Atlan help my Google ADK agent query BigQuery better?

By providing business definitions via listglossaries, your agent understands your data context. It generates more accurate SQL for your BigQuery environment.

Connect your data catalog to Google ADK to build agents that understand your business logic.

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Connect Atlan MCP to Google ADK

Create your Vinkius account to connect Atlan to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Atlan with Google ADK

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Navigate the Atlan catalog via Google ADK

Use `search_assets` to let your Gemini-powered agent query your entire data landscape. It finds the right tables in BigQuery without you needing to manually provide URLs. This keeps your agent informed about the latest table updates. It acts as a bridge between your cloud infrastructure and the governance rules in your catalog.

Enforce data policies with Google ADK

Call `list_purposes` to understand the intent behind your data sets. Your agent uses this context to ensure its outputs follow your internal compliance standards. It removes the need for hardcoded policy checks. Your agent dynamically queries the rules to decide how it interacts with BigQuery data.

Manage user access using Google ADK

Invoke `list_users` and `list_personas` to identify the data owners for any given asset. Your agent identifies the right point of contact when it hits a permission wall. It makes your agent look smart by knowing exactly who to ask for access. This creates a feedback loop within your Google Cloud agent pipelines.

Setup guide

Set up Atlan MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Atlan tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Atlan_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Atlan tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Atlan MCP in Google ADK

You use the McpToolset provided by the library. Point it to your Vinkius server URL and attach it to your LlmAgent instance.

The McpToolset supports all six tools, including `search_assets` and `list_glossaries`. You can restrict them using the tool_names filter if you only need a subset.

By providing business definitions via `list_glossaries`, your agent understands your data context. It generates more accurate SQL for your BigQuery environment.

Vinkius manages the server uptime and auth. You get a consistent HTTP or Stdio transport to keep your agent production-ready.

It accesses read-only metadata like business glossaries, user rosters, and classification labels. Your sensitive row-level data remains outside the server's scope.

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