How to Use the Data.gov MCP in OpenAI Agents SDK

Q: Can OpenAI Agents SDK pull full Data.gov metadata?

Yes. By calling getdataset, your agent retrieves the full dictionary, license info, and resource list for any dataset ID. This data arrives structured and ready for internal processing.

Query federal records directly inside your OpenAI Agents SDK production pipeline. Get data into your agent without manual scraping.

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Connect Data.gov MCP to OpenAI Agents SDK

Create your Vinkius account to connect Data.gov 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 Data.gov with OpenAI Agents SDK

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Search and inspect datasets automatically

Your agent uses `search_datasets` to find relevant government records across 300,000+ entries. It handles the filtering logic so you don't have to write custom scrapers. Once the agent identifies a target, it invokes `get_dataset` to pull metadata, tags, and direct download links. This keeps your agent's context focused on verified, machine-readable information.

Browse organization and group structures

Use `list_organizations` or `list_groups` to map out the federal data ecosystem. Your agent can traverse the hierarchy to find specific publishers like the Department of Education or the EPA. After identifying a source, the `get_organization_datasets` tool pulls the full inventory for that entity. Your agent gets a clean list of available resources to inform its next action.

Validate and track API health

The `get_status` tool lets your agent monitor the health of the Data.gov interface before attempting complex queries. It prevents wasted compute cycles on broken requests. If you need to filter by specific file types, `list_resource_formats` provides the necessary schema details. This MCP Server ensures your agent only requests data it can actually process.

Setup guide

Set up Data.gov 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 Data.gov tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Data.gov 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="Data.gov Agent",
            instructions="You have access to Data.gov 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 Data.gov. 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 Data.gov MCP in OpenAI Agents SDK

You pass the server to your agent constructor and let it handle the heavy lifting. The agent detects the tools automatically and maps your natural language requests to specific API calls.

Yes. By calling `get_dataset`, your agent retrieves the full dictionary, license info, and resource list for any dataset ID. This data arrives structured and ready for internal processing.

The server exposes 13 distinct tools covering everything from tags to organization lists. You have full access to the entire catalog metadata through your agent's tool-calling loop.

The server returns standard error codes that your agent's safety guardrails can catch. You can monitor these failures directly in your OpenAI dashboard to adjust your logic.

This server only touches public federal records. It does not access your private agent memory or user credentials, keeping your proprietary data isolated from public government files.

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