How to Use the Federal Register API MCP in Google ADK

Q: Can I restrict which tools are exposed to my Gemini agent?

Yes, the toolset class allows you to pass an optional toolnames filter. This lets you restrict your agent to only search operations, blocking it from pulling full document details if necessary.

Feed live US regulatory data directly into your Gemini models using Google ADK and this managed MCP Server.

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Connect Federal Register API MCP to Google ADK

Create your Vinkius account to connect Federal Register API 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 Federal Register API with Google ADK

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Query federal filings directly with Google ADK

The `search_federal_documents` tool connects your Gemini models to the live database of US regulatory filings. This lets your Google ADK agent analyze policy changes alongside your existing BigQuery datasets. Long-context reasoning shines here because Gemini can ingest thousands of search results at once. You don't have to worry about token limits when pulling large batches of public rules.

Extract complete metadata using this MCP Server

The `get_federal_document_details` tool retrieves deep metadata and HTML links for any specific government document. Your Google ADK pipeline uses this structured data to build clean audit trails for enterprise compliance. Instead of relying on fragile web scrapers, your agent gets clean, structured JSON directly from the source. This ensures your enterprise compliance tracking remains accurate and unbroken.

Map active regulatory bodies in Google ADK

The `list_federal_agencies` tool provides a clean list of all active government agencies publishing in the register. Your Google ADK agent uses this list to categorize incoming rules and route them to the correct department team. Let's hook this up to your Vertex AI pipeline to automate document routing. Your agent checks the publishing agency, verifies its status, and files the document in Google Cloud Storage.

Setup guide

Set up Federal Register API 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 Federal Register API 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="Federal Register API_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Federal Register API tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Federal Register API MCP in Google ADK

You initialize the connection using the McpToolset class with your Vinkius HTTP endpoint. This exposes the Federal Register API tools directly to your Gemini LLmAgent without complex boilerplate.

No, accessing the Federal Register API requires an active internet connection to query live government databases. However, you can use the `check_api_status` tool to verify connection viability before executing your Google ADK workflows.

Gemini's massive context window easily digests the extensive metadata returned by the Federal Register API. Google ADK passes this data directly to the model, allowing you to summarize complex rules without truncating the text.

Yes, the toolset class allows you to pass an optional tool_names filter. This lets you restrict your agent to only search operations, blocking it from pulling full document details if necessary.

All requested federal document details and HTML links are processed in isolated, single-tenant memory space. Your search queries never touch external databases, ensuring your corporate regulatory research remains entirely confidential.

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