How to Use the FRED Categories — Economic Data Taxonomy MCP in OpenAI Agents SDK
Build production agents with the OpenAI Agents SDK by navigating FRED Categories — Economic Data Taxonomy directly through your code.
Works with every AI agent you already use
…and any MCP-compatible client
Connect FRED Categories — Economic Data Taxonomy MCP to OpenAI Agents SDK
Create your Vinkius account to connect FRED Categories — Economic Data Taxonomy 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.
Automated discovery of economic data
Your agent uses `get_category_children` to walk the tree of economic indicators. It starts at the root to map out the structure of national accounts or labor markets without manual intervention. This MCP Server provides the map your agent needs to find specific data series. It avoids hardcoded IDs by querying the hierarchy in real-time.
Type-safe series retrieval
After identifying a category, your agent calls `get_category_series` to pull the actual data indicators. It handles pagination automatically to keep your memory footprint low. Your agent parses these results to feed downstream models. It ensures the data fits your production requirements before sending it to the OpenAI dashboard for tracing.
Tag-based filtering logic
Use `get_category_tags` to refine what your agent selects from the taxonomy. This tool exposes the dimensions of the data so you can filter by frequency or unit. This prevents your agent from grabbing irrelevant series. It keeps your agent's context window clean and focused on high-quality economic inputs.
Set up FRED Categories — Economic Data Taxonomy MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all FRED Categories — Economic Data Taxonomy tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives FRED Categories — Economic Data Taxonomy 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 Categories — Economic Data Taxonomy tools and returns structured results. Copy the full example on the right to get started.
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 Categories — Economic Data Taxonomy Agent",
instructions="You have access to FRED Categories — Economic Data Taxonomy tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) 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 Categories — Economic Data Taxonomy MCP in OpenAI Agents SDK
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