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Data.gov Catalog MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 8 tools to Get Harvest Record, Get Harvest Record Raw, Get Harvest Record Transformed, and more

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Data.gov Catalog through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Ask AI about this MCP Server for OpenAI Agents SDK

The Data.gov Catalog MCP Server for OpenAI Agents SDK is a standout in the Data Analytics category — giving your AI agent 8 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Data.gov Catalog Assistant",
            instructions=(
                "You help users interact with Data.gov Catalog. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Data.gov Catalog"
        )
        print(result.final_output)

asyncio.run(main())
Data.gov Catalog
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Data.gov Catalog MCP Server

Connect to the Data.gov Catalog to explore the comprehensive repository of US Government open data. This MCP server allows AI agents to discover datasets from agencies like NASA, NOAA, and the Census Bureau through natural language.

The OpenAI Agents SDK auto-discovers all 8 tools from Data.gov Catalog through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Data.gov Catalog, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Dataset Discovery — Search the entire catalog using keywords, organization filters, and advanced sorting via search_datasets.
  • Spatial Analysis — Find datasets by geographic location using GeoJSON boundaries and spatial filters with search_locations and get_location_geometry.
  • Organization Insights — List all publishing organizations and filter results by specific agency slugs using get_organizations.
  • Metadata Inspection — Retrieve detailed harvest records, including raw and transformed DCAT-US payloads with get_harvest_record_raw and get_harvest_record_transformed.
  • Keyword Trends — Analyze commonly used keywords and their dataset counts to identify data trends using get_keywords.

The Data.gov Catalog MCP Server exposes 8 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 8 Data.gov Catalog tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Data.gov Catalog through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-data, federal-data, dataset-discovery, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get harvest record on Data.gov Catalog

Retrieve metadata about how a dataset was ingested

get

Get harvest record raw on Data.gov Catalog

Retrieve original unmodified source payload for a harvest record

get

Get harvest record transformed on Data.gov Catalog

Retrieve transformed DCAT-US payload for a harvest record

get

Get keywords on Data.gov Catalog

Retrieve commonly used keywords and their dataset counts

get

Get location geometry on Data.gov Catalog

Retrieve the GeoJSON boundary for a specific location ID

get

Get organizations on Data.gov Catalog

Retrieve the complete list of publishing organizations

search

Search datasets on Data.gov Catalog

Search the catalog using keywords, filters, and sorting

search

Search locations on Data.gov Catalog

Autocomplete search for location names to use with spatial filtering

Connect Data.gov Catalog to OpenAI Agents SDK via MCP

Follow these steps to wire Data.gov Catalog into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 8 tools from Data.gov Catalog

Why Use OpenAI Agents SDK with the Data.gov Catalog MCP Server

OpenAI Agents SDK provides unique advantages when paired with Data.gov Catalog through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Data.gov Catalog + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Data.gov Catalog MCP Server delivers measurable value.

01

Automated workflows: build agents that query Data.gov Catalog, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Data.gov Catalog, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Data.gov Catalog tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Data.gov Catalog to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Data.gov Catalog in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Data.gov Catalog immediately.

01

"Search for NASA datasets related to climate change."

02

"List all government organizations that publish data here."

03

"Get the GeoJSON boundary for 'Los Angeles' to filter my search."

Troubleshooting Data.gov Catalog MCP Server with OpenAI Agents SDK

Common issues when connecting Data.gov Catalog to OpenAI Agents SDK through Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Data.gov Catalog + OpenAI Agents SDK FAQ

Common questions about integrating Data.gov Catalog MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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