How to Use the Alation MCP in Google ADK

Q: Can a Google ADK agent search the Alation catalog for a specific table?

Yes. The agent uses the searchcatalog tool to find assets by name or keyword. It can then follow up with getobjectmetadata to get the full details on that specific table.

Q: Can I use a Google ADK agent to compare schemas between two Alation data sources?

That's a great use case for it. The agent can call listtables and listcolumns for each source, then feed that information into the Gemini model to compare the two schemas and report the differences.

Connect your Google ADK agents directly to your Alation catalog. Let Gemini models reason over your data landscape, right from Google Cloud.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Alation MCP to Google ADK

Create your Vinkius account to connect Alation 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.

GDPR Free for Subscribers

Setup Alation with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Explore Your Catalog from Google Cloud

Give your Gemini agent a complete sitemap of your data. Using the `list_data_sources`, `list_schemas`, and `list_tables` tools, the agent can map out your entire Alation catalog. It's the first step to building agents that can navigate your enterprise data on their own. This works so well because of Gemini's long-context capabilities. Your agent can pull metadata for dozens of tables at once using `get_object_metadata` and reason about their relationships in a single pass. It’s perfect for complex data discovery tasks that would choke smaller models.

Govern Data with your Google Agent

Put a Google agent to work as an automated data steward. It can use `list_custom_fields` to scan for assets missing a required governance tag or check data ownership with `get_object_metadata`. This automates the tedious checks that are easy to forget. This MCP Server provides the tools to enforce your data policies programmatically. You can build an agent on Google Cloud that periodically scans for PII exposure, traces data provenance with `get_lineage`, and flags issues for review. It makes governance an active process, not a passive checklist.

Connect BigQuery Insights to Alation

Bridge the gap between your data warehouse and your data catalog. An agent can find relevant saved queries with `list_saved_queries` and then fetch the results with `get_query_results` from Alation. This gives it context about work that has already been done. Because Google ADK integrates natively with other Google Cloud services, your agent can combine actions. It could get results from Alation, use its native BigQuery tool to run a new, related query, and summarize the findings. It all happens in one flow within your Google Cloud environment.

Setup guide

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Alation. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Alation now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Alation MCP in Google ADK

Yes. The agent uses the `search_catalog` tool to find assets by name or keyword. It can then follow up with `get_object_metadata` to get the full details on that specific table.

It's handled by Vinkius. You pass your single Vinkius endpoint token when you set up the `McpToolset` in your Python code. Your ADK agent connects securely without needing direct Alation credentials.

That's a great use case for it. The agent can call `list_tables` and `list_columns` for each source, then feed that information into the Gemini model to compare the two schemas and report the differences.

This MCP server provides a clean, standardized set of tools for your agent. You skip the hassle of writing a custom API client, handling pagination, and managing auth tokens. The Google ADK `McpToolset` makes it a one-line setup.

This server only interacts with your Alation catalog's metadata—asset names, descriptions, lineage info, and custom fields. It can also get cached query results. Your actual production data in your databases is never accessed, and each connection runs in a zero-trust environment.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript