How to Use the Data.gov Catalog MCP in Google ADK

Q: How do I configure the Data.gov Catalog MCP Server with Google ADK?

Install google-adk and set up a McpToolset using StreamableHttpServerParameters. Pass that toolset directly to the tools array of your LlmAgent.

Q: Can I limit which Data.gov Catalog tools the Google ADK sees?

You can pass a toolnames filter when initializing the toolset. This restricts the agent to specific functions like getkeywords if you want to keep the context tight.

Feed federal datasets directly into Gemini's massive context window using the Google ADK.

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Connect Data.gov Catalog MCP to Google ADK

Create your Vinkius account to connect Data.gov Catalog 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 Data.gov Catalog with Google ADK

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Deep Federal Data Analysis

Gemini models can hold over a million tokens in context. Pointing Google ADK at this MCP Server lets you dump massive amounts of federal metadata straight into your prompt. The agent runs `search_datasets` and feeds thousands of results directly into memory. You do not have to worry about chunking the output. The system can pull the full list of publishers via `get_organizations` and cross-reference them against specific dataset counts in a single reasoning step.

Map Boundaries with Google ADK

Spatial filtering requires exact coordinates. Your Gemini agent can execute `search_locations` to find a city or state, then immediately call `get_location_geometry` to grab the GeoJSON. Because this runs on Google Cloud infrastructure, you can pipe those GeoJSON boundaries straight into BigQuery for geographic analysis. The agent drives the entire flow from federal search to warehouse ingestion.

Audit Ingestion via MCP Server

Tracking how data enters the federal system is tedious work. Executing `get_harvest_record` pulls the specific ingestion metadata for any dataset you target. Agents can compare the source and final states easily. By calling `get_harvest_record_raw` and `get_harvest_record_transformed`, the Gemini model evaluates the exact DCAT-US transformations applied by the government.

Setup guide

Set up Data.gov Catalog 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 Data.gov Catalog 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="Data.gov Catalog_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Data.gov Catalog tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Data.gov. 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.

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Common questions about Data.gov Catalog MCP in Google ADK

Install `google-adk` and set up a `McpToolset` using `StreamableHttpServerParameters`. Pass that toolset directly to the `tools` array of your `LlmAgent`.

You can pass a `tool_names` filter when initializing the toolset. This restricts the agent to specific functions like `get_keywords` if you want to keep the context tight.

Yes, the framework handles multiple toolsets natively. Your agent can pull federal records from the MCP connection and instantly write them to your BigQuery tables.

The Google framework supports both Stdio and HTTP transports out of the box. Just plug in your Vinkius MCP endpoint URL and the authentication token handles the rest.

The server only processes public government dataset metadata and GeoJSON files. Vinkius routes all traffic through ephemeral, zero-trust sandboxes that wipe your query history the moment the connection drops.

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