FRED Tags & Sources — Data Discovery MCP Server for OpenAI Agents SDK 3 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect FRED Tags & Sources — Data Discovery through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="FRED Tags & Sources — Data Discovery Assistant",
instructions=(
"You help users interact with FRED Tags & Sources — Data Discovery. "
"You have access to 3 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from FRED Tags & Sources — Data Discovery"
)
print(result.final_output)
asyncio.run(main())
* 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 FRED Tags & Sources — Data Discovery MCP Server
The discovery layer for FRED. Tags & Sources helps your AI agent find exactly the right series by filtering through FRED's comprehensive tagging system.
The OpenAI Agents SDK auto-discovers all 3 tools from FRED Tags & Sources — Data Discovery through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries FRED Tags & Sources — Data Discovery, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Search Tags — Browse geographic (usa, europe), topic (gdp, inflation), source (bls, bea), and frequency (monthly, quarterly) tags
- Tag Combinations — Find series matching ALL specified tags (e.g., usa + gdp + quarterly) while excluding others
- Data Sources — List all 107 organizations contributing data: BLS, BEA, Federal Reserve Board, Census Bureau, Treasury, IMF, and more
The FRED Tags & Sources — Data Discovery MCP Server exposes 3 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect FRED Tags & Sources — Data Discovery to OpenAI Agents SDK via MCP
Follow these steps to integrate the FRED Tags & Sources — Data Discovery MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 3 tools from FRED Tags & Sources — Data Discovery
Why Use OpenAI Agents SDK with the FRED Tags & Sources — Data Discovery MCP Server
OpenAI Agents SDK provides unique advantages when paired with FRED Tags & Sources — Data Discovery through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
FRED Tags & Sources — Data Discovery + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the FRED Tags & Sources — Data Discovery MCP Server delivers measurable value.
Automated workflows: build agents that query FRED Tags & Sources — Data Discovery, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries FRED Tags & Sources — Data Discovery, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through FRED Tags & Sources — Data Discovery tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query FRED Tags & Sources — Data Discovery to resolve tickets, look up records, and update statuses without human intervention
FRED Tags & Sources — Data Discovery MCP Tools for OpenAI Agents SDK (3)
These 3 tools become available when you connect FRED Tags & Sources — Data Discovery to OpenAI Agents SDK via MCP:
get_series_by_tags
Powerful for discovering related series. Example: tag_names="usa;gdp" returns all US GDP series. Combine with exclude_tag_names to refine. Get FRED series matching specific tags
list_sources
List all FRED data sources
search_tags
Search by text or get all tags. Tags include geographic (usa, europe), topic (gdp, inflation), source (bls, bea), and frequency (monthly, quarterly) labels. Search or browse FRED tags
Example Prompts for FRED Tags & Sources — Data Discovery in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with FRED Tags & Sources — Data Discovery immediately.
"Find all monthly U.S. GDP-related series"
"List all data sources that contribute to FRED"
"What tags are most popular on FRED?"
Troubleshooting FRED Tags & Sources — Data Discovery MCP Server with OpenAI Agents SDK
Common issues when connecting FRED Tags & Sources — Data Discovery to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
FRED Tags & Sources — Data Discovery + OpenAI Agents SDK FAQ
Common questions about integrating FRED Tags & Sources — Data Discovery MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect FRED Tags & Sources — Data Discovery with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect FRED Tags & Sources — Data Discovery to OpenAI Agents SDK
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.