How to Use the Federal Register MCP in Google ADK

Q: How do I query the Federal Register via Google ADK?

You define an McpToolset pointing to your Vinkius endpoint. The tools are then available for your agent to invoke during its reasoning cycle.

Q: Is the Federal Register data compatible with Google ADK long-context models?

Absolutely. You can fetch full document text using getdocument and feed it into a Gemini window for deep analysis.

Connect the Federal Register to your Google ADK agents to power long-context regulatory analysis on Google Cloud.

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Connect Federal Register MCP to Google ADK

Create your Vinkius account to connect Federal Register 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 with Google ADK

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Deep regulatory context for Google ADK

Feed massive regulatory documents into your Gemini-powered agent using the `get_document` tool. Your agent can digest thousands of tokens to find specific rule changes. Because the MCP Server connects directly to your Google Cloud environment, you can pipe this data straight into your existing analysis pipelines.

Public inspection tracking

Use `search_public_inspection` to find upcoming rules that haven't been published yet. Your agent can monitor these notices to prepare for compliance shifts. It’s the fastest way to get ahead of agency actions. The server provides the raw notice data for your agent to process alongside your internal datasets.

Efficient agency lookups

Map out agency responsibilities by calling `list_agencies` to see the full scope of federal oversight. It helps your agent understand which department issued a specific document. Your agent can then drill down using `get_agency` to retrieve specific contact and metadata details. It turns unstructured agency lists into a queryable database.

Setup guide

Set up Federal Register 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 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_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Federal Register 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 Federal Register. 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 Federal Register MCP in Google ADK

You define an `McpToolset` pointing to your Vinkius endpoint. The tools are then available for your agent to invoke during its reasoning cycle.

Absolutely. You can fetch full document text using `get_document` and feed it into a Gemini window for deep analysis.

You can restrict which tools the agent uses by setting a tool_names filter. This prevents the agent from running unnecessary searches.

Vinkius handles the server hosting and endpoint security. You simply provide the connection string, and the server does the rest.

The server only interacts with public regulatory filings. No proprietary or sensitive agency metadata stays on the server after the request completes.

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