How to Use the FRED GeoFRED — Regional Economic Data MCP in OpenAI Agents SDK

Build production-grade economic analysis agents using the OpenAI Agents SDK and real-time data from FRED GeoFRED.

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Connect FRED GeoFRED — Regional Economic Data MCP to OpenAI Agents SDK

Create your Vinkius account to connect FRED GeoFRED — Regional Economic Data 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 FRED GeoFRED — Regional Economic Data with OpenAI Agents SDK

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Fetch precise regional data in your agent

Stop guessing at national averages and pull specific metrics for any MSA or county. Your agent uses `get_regional_data` to grab the exact unemployment or GDP figures you need for your model's context window. This MCP Server provides the raw numbers while your agent handles the inference. It keeps your economic analysis grounded in verified Federal Reserve data without needing custom data pipelines.

Map economic trends with OpenAI Agents SDK

Visualizing geographic clusters happens when you feed `get_geo_shapes` into your agent's rendering logic. You get the boundary coordinates for states, FRB districts, or BEA regions directly into your agent's memory. This flow allows your agent to construct spatial visualizations on the fly. It turns abstract economic series into clear regional insights that your users can actually read.

Discover series metadata for accurate queries

Before you query a specific region, use `get_series_group` to find the correct series ID and unit parameters. Your agent checks this first to ensure the data request aligns with the available seasonality and reporting frequency. This prevents the common headache of querying incompatible datasets. It ensures your agent only requests data that makes sense for your specific policy report.

Setup guide

Set up FRED GeoFRED — Regional Economic Data 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 FRED GeoFRED — Regional Economic Data tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate FRED GeoFRED — Regional Economic Data 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="FRED GeoFRED — Regional Economic Data Agent",
            instructions="You have access to FRED GeoFRED — Regional Economic Data tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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 FRED. 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 FRED GeoFRED — Regional Economic Data MCP in OpenAI Agents SDK

You connect by passing the server endpoint to the MCPServerStreamableHttp class. Once initialized, add the server to your Agent constructor's mcp_servers list to expose all three tools automatically.

Yes, enable cacheToolsList in your client configuration to cut down on redundant network calls. This keeps your agent responsive when querying repetitive economic series.

Absolutely. You can write logic where one agent fetches the data and another handles the analysis. The tools provide the raw inputs that trigger these specialized agent handoffs.

The server will return an error status which your agent should handle gracefully. You should implement a retry policy in your agent code to respect the FRED API limits.

Your key is used locally by the server to authenticate requests. We never store or transmit your credentials; the server treats your key as an ephemeral environment variable.

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