How to Use the Data.gov MCP in Google ADK

Q: Can I filter Data.gov searches in Google ADK?

You can use listtags or listresourceformats to refine your search parameters. This helps your agent find the exact file types required for your downstream tasks.

Q: What is the status of my Data.gov connection in Google ADK?

You can call getstatus at any time to verify the API is responding. It returns total counts for organizations and tags, which is useful for audit logs.

Link federal data to your Google ADK agent. Move open records from Data.gov into your enterprise workflows.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Data.gov MCP to Google ADK

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

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Query the Data.gov catalog with Google ADK

Your agent utilizes the `search_datasets` tool to query the massive federal index. It converts your free-text prompts into precise API requests. It then parses the results, including descriptions and tags, so the Gemini model can reason over the data. This bridges the gap between raw government files and your specific business logic.

Drill down into specific topic groups

Use `get_group_datasets` to isolate records within categories like climate or health. Your agent retrieves the titles and download links directly through the MCP Server. This is ideal for agents that need to focus on specific domains. You'll avoid noisy search results by targeting the relevant group structure defined in the federal registry.

Manage organization-specific data

The `get_organization` tool lets your agent pull details on any federal agency publishing data. It provides contact info and current dataset counts. When you need to see what a specific agency offers, `get_organization_datasets` delivers the full list. Your agent manages this retrieval within the same context as your BigQuery operations.

Setup guide

Set up Data.gov 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 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_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Data.gov 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 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.

Why Choose Vinkius

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

Connect Data.gov 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 Data.gov MCP in Google ADK

You instantiate an McpToolset with the server URL and pass it to your LlmAgent. The agent then dynamically discovers and executes the 13 available tools.

You can use `list_tags` or `list_resource_formats` to refine your search parameters. This helps your agent find the exact file types required for your downstream tasks.

Yes. Since the models support 1M+ tokens, you can pull large amounts of metadata and descriptions from the server. It handles the volume without breaking your agent's flow.

You can call `get_status` at any time to verify the API is responding. It returns total counts for organizations and tags, which is useful for audit logs.

This server acts as a read-only bridge to public government records. It does not interact with your private Google Cloud storage or BigQuery tables, ensuring your sensitive assets remain untouched.

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