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How to Use the GovInfo MCP in Google ADK

Give your Google ADK agents direct access to official US Government publications with 1M+ token context windows.

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Google ADK

Connect GovInfo MCP to Google ADK

Create your Vinkius account to connect GovInfo 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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Long-context regulatory analysis with Google ADK

Gemini models can hold massive amounts of text, making them perfect for digesting entire congressional packages. This MCP Server exposes `get_package_summary` and `search_documents` so your enterprise agents can pull massive government filings directly into their context. You can write the retrieved text directly to BigQuery for long-term storage or run deep reasoning over thousands of pages of legislative history in a single turn.

Targeted collection filtering

Avoid wasting resources by restricting your search to specific federal agencies or dates. Your Google ADK agent uses `list_collections` to identify the correct archive via this MCP Server, then uses `get_collection` to fetch only the relevant packages. The Google ADK toolset allows you to apply a tool_names filter, ensuring your agent only calls the specific endpoints you authorize for that step of the pipeline.

Automated daily publication monitoring

Keep your enterprise databases updated with the latest federal rules as they publish. By using `get_published` in your Google ADK workflow, your agent can check for new documents released on a specific date and flag them for review. The agent can then use `get_granule_summary` to extract key policy changes and trigger downstream alerts in your Google Cloud infrastructure.

Setup guide

Set up GovInfo 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. 1

    Install Google ADK

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

  2. 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. 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. 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 GovInfo 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="GovInfo_agent",
    model="gemini-2.0-flash",
    instruction="You have access to GovInfo tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GovInfo. 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 GovInfo MCP in Google ADK

Instantiate the McpToolset with your Vinkius HTTP URL and pass it to your LlmAgent. The Gemini model will automatically detect the tools and know when to call them.
Yes. Use the tool_names parameter in your McpToolset configuration to restrict the agent to specific tools like `search_documents` or `get_published`.
Gemini's million-token context easily handles large text blocks retrieved via `list_package_granules` without hitting context limits.
Yes. Your agent can retrieve federal regulations using `get_granule_summary` and compare them against your internal relational data stored in BigQuery.
Yes. The MCP Server only queries public government archives, meaning no sensitive internal data is exposed to public registries. Vinkius secures the connection using isolated sandboxes to keep your API keys and search queries private.

Start using the GovInfo MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 8 tools

We've already built the connector for GovInfo. Just plug in your AI agents and start using Vinkius.

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