How to Use the Federal Register MCP in AutoGen

Debate complex regulatory filings in AutoGen by connecting the Federal Register MCP Server to your multi-agent team.

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Connect Federal Register MCP to AutoGen

Create your Vinkius account to connect Federal Register to AutoGen 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 AutoGen

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Perplexity

Debate agency rule changes

Assign one agent to fetch data via `get_current_public_inspection` while another critiques the impact. They negotiate the meaning of proposed rules in real-time. This setup forces agents to cross-examine the data. You get a consensus-driven analysis that weighs different interpretations of the same federal document.

Cross-reference multiple agencies

Use `list_agencies` to identify relevant departments and `get_document` to pull the text. Your agents then argue about how conflicting policies might affect your operations. This multi-agent deliberation catches nuances a single agent misses. They challenge each other's assumptions about agency authority and regulatory requirements.

Automated compliance negotiation

Deploy a security-focused agent to flag risks in documents retrieved from `search_public_inspection`. A separate performance agent argues for the most efficient path forward. These agents discuss the trade-offs until they converge on a decision. The final output reflects a balanced view of the regulatory constraints and your business needs.

Setup guide

Set up Federal Register MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Federal Register tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Federal Register_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Federal Register data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Federal Register_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Federal Register data")
    print(result.messages[-1].content)

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 AutoGen

You give the agents access to the MCP tools, and they use them to retrieve information. They then communicate in a loop, challenging each other's findings until they reach a conclusion.

Yes, the MCP adapter converts the 9 tools into functions that your agents call automatically. They handle the execution flow based on their assigned roles in your conversation group.

The conversation history contains the tool outputs, so every agent sees what the others have retrieved. This shared context is what allows them to debate effectively.

You install the MCP extension and point it to the Vinkius server URL. The adapter handles the schema mapping, and you pass the resulting tools to your agents in one line.

All document text and metadata are handled locally within your agent group's memory. The connection to the Federal Register is ephemeral, ensuring no persistent storage of your queries on the provider side.

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