How to Use the GovInfo (GPO Legislative Docs) MCP in OpenAI Agents SDK

Q: Does this MCP integration support streaming responses for large congressional bills?

Yes. When your agent calls getpackagecontent for a massive legislative document, the data comes back as a raw text string. The SDK handles this stream natively inside your async runtime.

Feed official US legislative records and GPO bills directly to your OpenAI Agents SDK workflows with strict run-time safety.

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Connect GovInfo (GPO Legislative Docs) MCP to OpenAI Agents SDK

Create your Vinkius account to connect GovInfo (GPO Legislative Docs) to OpenAI Agents SDK 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 OpenAI Agents SDK

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Query GPO collections with an MCP Server

Your agent can search federal records without hitting blind spots. Using `search_govinfo`, the agent scans congressional bills and the Federal Register using raw queries. The OpenAI agent validates these inputs against your safety policies before making the call. Once the search yields results, the agent uses `list_packages` to narrow down documents by date. This keeps your automated pipelines fast and prevents the system from pulling massive, unwanted document sets.

Trace document downloads in the developer dashboard

Pulling raw government text can get messy fast. By calling `get_package_content`, your agent pulls the raw text of congressional hearings or bills directly into its context window. Every single one of these data fetches is tracked in your OpenAI dashboard. If a file is too large, the agent can pivot to `get_package_summary` first. This lets the agent inspect metadata before deciding to download the full text, keeping your token usage under control.

Safe handoffs for deep legislative analysis

You can set up specialized agents for different document types. One agent uses `list_collections` to find the right database, then hands off the task to a specialized researcher agent. This second agent uses `get_collection_details` to parse the schema. The MCP Server handles the transport, while your SDK code keeps the execution safe. This multi-agent setup prevents a single agent from getting bogged down in messy federal metadata.

Setup guide

Set up GovInfo (GPO Legislative Docs) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all GovInfo (GPO Legislative Docs) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives GovInfo (GPO Legislative Docs) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate GovInfo (GPO Legislative Docs) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="GovInfo (GPO Legislative Docs) Agent",
            instructions="You have access to GovInfo (GPO Legislative Docs) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 OpenAI Agents SDK

Install the SDK first. Instantiate the server using the streamable HTTP constructor with your Vinkius endpoint, then pass this server object directly into your Agent constructor's server list. The SDK will handle connection pooling automatically.

Yes. You can control tool access on the agent level by defining specific tool filters in your Python code. This prevents the agent from running expensive operations like `get_package_content` on massive ZIP files unless specifically authorized.

The GPO API enforces strict limits on requests. To prevent your OpenAI Agents SDK from getting throttled, set the tools list caching parameter to true and implement local caching for heavy queries like `search_govinfo`.

Yes. When your agent calls `get_package_content` for a massive legislative document, the data comes back as a raw text string. The SDK handles this stream natively inside your async runtime.

Your search terms, package IDs, and legislative queries are processed in an ephemeral V8 sandbox. Vinkius does not store the content of the bills or the search queries your agent runs.

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