How to Use the Collibra MCP in Google ADK

Q: Can Google ADK agents search Collibra data?

They can. Using the searchassets tool, your agent can pinpoint exact data assets across your enterprise catalog.

Connect Collibra to your Google ADK infrastructure for smarter data governance.

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Connect Collibra MCP to Google ADK

Create your Vinkius account to connect Collibra 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 Collibra with Google ADK

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Google ADK agents querying Collibra catalogs

Your Gemini-powered agents can finally see your data governance state. By calling `list_assets`, the agent pulls back the full inventory of your managed data. Use `get_asset` to feed deep metadata into your long-context prompts. It allows your agent to reason about data lineage without manual lookups.

Organize data communities using Google ADK

Your agents can traverse your organization's data structure by calling `list_communities`. It helps the agent understand which data belongs to which business unit. When you need to know where a domain sits, `list_domains` provides the hierarchy. Your agent handles the navigation, leaving you to focus on the results.

Managing asset status in Google ADK

Keep your data registry current by checking `list_statuses` before updating any records. The agent verifies the valid states for any asset it touches. It avoids common errors by using `list_asset_types` to ensure it follows your company's data standards. This keeps your Collibra environment clean and reliable.

Setup guide

Set up Collibra 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 Collibra 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="Collibra_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Collibra tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Collibra MCP in Google ADK

Use the McpToolset class with your Vinkius HTTP URL. This adds the tools to your LlmAgent instance in a few lines of code.

It is. The server supports both Stdio and HTTP, giving your Google ADK agents the flexibility to run in cloud or local environments.

They can. Using the search_assets tool, your agent can pinpoint exact data assets across your enterprise catalog.

Just pass the toolset to your agent. You can even filter the tool names if you want to limit what the agent can touch in Collibra.

All traffic is encrypted and routed through the Vinkius gateway. No raw credentials ever touch your agent code, keeping your asset definitions isolated.

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