FRED Series — U.S. Economic Time Series MCP Server for OpenAI Agents SDK 5 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect FRED Series — U.S. Economic Time Series 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 Series — U.S. Economic Time Series Assistant",
instructions=(
"You help users interact with FRED Series — U.S. Economic Time Series. "
"You have access to 5 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from FRED Series — U.S. Economic Time Series"
)
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 Series — U.S. Economic Time Series MCP Server
Connect your AI agent to the most powerful economic data engine in the world. FRED Series gives you direct access to the Federal Reserve's complete time series database.
The OpenAI Agents SDK auto-discovers all 5 tools from FRED Series — U.S. Economic Time Series through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries FRED Series — U.S. Economic Time Series, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Search 816,000+ Series — Find any economic indicator by keyword. GDP, CPI, unemployment rate, federal funds rate, housing starts, and hundreds of thousands more
- Retrieve Observations — Get actual date/value pairs with built-in unit transformations (percent change, log, year-over-year) and frequency aggregation (daily → monthly → quarterly → annual)
- Series Metadata — Full details: title, units, frequency, seasonal adjustment, observation range, source, and notes
- Recent Updates — Monitor which series were just updated — essential for tracking economic releases
- Vintage Analysis — Access ALFRED-style historical revisions to understand how data was revised over time
Popular Series IDs
GDP · UNRATE · CPIAUCSL · FEDFUNDS · DGS10 · SP500 · M2SL · MORTGAGE30US · DEXUSEU · T10YIE
The FRED Series — U.S. Economic Time Series MCP Server exposes 5 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 Series — U.S. Economic Time Series to OpenAI Agents SDK via MCP
Follow these steps to integrate the FRED Series — U.S. Economic Time Series 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 5 tools from FRED Series — U.S. Economic Time Series
Why Use OpenAI Agents SDK with the FRED Series — U.S. Economic Time Series MCP Server
OpenAI Agents SDK provides unique advantages when paired with FRED Series — U.S. Economic Time Series 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 Series — U.S. Economic Time Series + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the FRED Series — U.S. Economic Time Series MCP Server delivers measurable value.
Automated workflows: build agents that query FRED Series — U.S. Economic Time Series, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries FRED Series — U.S. Economic Time Series, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through FRED Series — U.S. Economic Time Series tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query FRED Series — U.S. Economic Time Series to resolve tickets, look up records, and update statuses without human intervention
FRED Series — U.S. Economic Time Series MCP Tools for OpenAI Agents SDK (5)
These 5 tools become available when you connect FRED Series — U.S. Economic Time Series to OpenAI Agents SDK via MCP:
get_observations
Supports date filtering, unit transformations (percent change, log, etc.), and frequency aggregation. This is the primary tool for retrieving economic data. Get actual data values for a FRED time series
get_series
Use well-known IDs like GDP, UNRATE, CPIAUCSL, FEDFUNDS, DGS10, SP500, M2SL. Get metadata for a specific FRED series
get_series_updates
Useful for monitoring new data releases. Filter by macro (large/popular series) or regional. Get recently updated FRED series
get_vintage_dates
Essential for ALFRED-style vintage analysis and understanding data revisions. Get historical revision dates for a series
search_series
Returns matching series with title, frequency, units, popularity. Use order_by=popularity to find the most-used series. Examples: "GDP", "unemployment rate", "inflation CPI". Search 816,000+ economic time series by keyword
Example Prompts for FRED Series — U.S. Economic Time Series in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with FRED Series — U.S. Economic Time Series immediately.
"What is the current U.S. unemployment rate?"
"Show me U.S. GDP growth rate over the last 5 years"
"Compare the federal funds rate with 10-year Treasury yield"
Troubleshooting FRED Series — U.S. Economic Time Series MCP Server with OpenAI Agents SDK
Common issues when connecting FRED Series — U.S. Economic Time Series to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
FRED Series — U.S. Economic Time Series + OpenAI Agents SDK FAQ
Common questions about integrating FRED Series — U.S. Economic Time Series 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 Series — U.S. Economic Time Series with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
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 Series — U.S. Economic Time Series to OpenAI Agents SDK
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.
