How to Use the GovInfo (GPO Legislative Docs) MCP in AutoGen

Q: How do AutoGen agents coordinate when searching GovInfo (GPO Legislative Docs)?

One agent uses searchgovinfo to locate relevant document IDs. It then passes those IDs to a researcher agent, which calls getpackagecontent to extract the raw text.

Let your AutoGen agents debate federal bills and analyze legislative metadata in real time.

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Connect GovInfo (GPO Legislative Docs) MCP to AutoGen

Create your Vinkius account to connect GovInfo (GPO Legislative Docs) 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 GovInfo (GPO Legislative Docs) with AutoGen

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Debate Congressional Bills in AutoGen

Set up a policy analyst agent and a legal counsel agent to review federal documents, starting with `search_govinfo` to locate specific files. One agent calls the tool while the other pulls the raw text with `get_package_content` to scrutinize specific clauses. The agents then cross-reference their findings, arguing over the implications of the text. This multi-agent deliberation yields a much deeper analysis of GPO documents than a single prompt could ever produce.

Cross-Verify GPO Metadata with this MCP Server

Let one agent pull the high-level summary of a congressional hearing using `get_package_summary`. A second agent simultaneously inspects the broader collection details via `get_collection_details` to verify the document's context. By separating the tasks of metadata collection and document parsing, your AutoGen team avoids rate limit issues and keeps token usage balanced. The agents collaborate to build a complete profile of the legislative record.

Monitor Federal Registers with AutoGen Teams

You configure a coordinator agent to run `list_packages` daily to find new regulatory updates. Once identified, the coordinator assigns specific packages to specialist agents for deep text extraction. These specialist agents use `list_collections` to ensure they are parsing the correct registry. They compile daily summaries of federal rule changes without manual oversight.

Setup guide

Set up GovInfo (GPO Legislative Docs) 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 GovInfo (GPO Legislative Docs) 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="GovInfo (GPO Legislative Docs)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent GovInfo (GPO Legislative Docs) data")
print(result.messages[-1].content)

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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="GovInfo (GPO Legislative Docs)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent GovInfo (GPO Legislative Docs) 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 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 (GPO Legislative Docs) MCP in AutoGen

One agent uses `search_govinfo` to locate relevant document IDs. It then passes those IDs to a researcher agent, which calls `get_package_content` to extract the raw text.

Yes, you can register the GPO tools only with specific agents in your AutoGen group. This prevents conversational agents from making unnecessary API calls.

Your agents can negotiate pacing, or you can configure a critic agent to monitor tool execution. This keeps your GovInfo (GPO Legislative Docs) calls within safe limits.

AutoGen connects via the MCP transport provided by Vinkius. This allows your multi-agent system to call GPO tools securely over the web.

No, the GPO document metadata and raw text are processed entirely within secure MCP sandboxes. Your AutoGen conversation logs and API keys are never stored.

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