FRED Series — U.S. Economic Time Series MCP Server for LlamaIndex 5 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add FRED Series — U.S. Economic Time Series as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to FRED Series — U.S. Economic Time Series. "
"You have 5 tools available."
),
)
response = await agent.run(
"What tools are available in FRED Series — U.S. Economic Time Series?"
)
print(response)
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.
LlamaIndex agents combine FRED Series — U.S. Economic Time Series tool responses with indexed documents for comprehensive, grounded answers. Connect 5 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the FRED Series — U.S. Economic Time Series MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 5 tools from FRED Series — U.S. Economic Time Series
Why Use LlamaIndex with the FRED Series — U.S. Economic Time Series MCP Server
LlamaIndex provides unique advantages when paired with FRED Series — U.S. Economic Time Series through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine FRED Series — U.S. Economic Time Series tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain FRED Series — U.S. Economic Time Series tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query FRED Series — U.S. Economic Time Series, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what FRED Series — U.S. Economic Time Series tools were called, what data was returned, and how it influenced the final answer
FRED Series — U.S. Economic Time Series + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the FRED Series — U.S. Economic Time Series MCP Server delivers measurable value.
Hybrid search: combine FRED Series — U.S. Economic Time Series real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query FRED Series — U.S. Economic Time Series to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying FRED Series — U.S. Economic Time Series for fresh data
Analytical workflows: chain FRED Series — U.S. Economic Time Series queries with LlamaIndex's data connectors to build multi-source analytical reports
FRED Series — U.S. Economic Time Series MCP Tools for LlamaIndex (5)
These 5 tools become available when you connect FRED Series — U.S. Economic Time Series to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting FRED Series — U.S. Economic Time Series to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFRED Series — U.S. Economic Time Series + LlamaIndex FAQ
Common questions about integrating FRED Series — U.S. Economic Time Series MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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Connect FRED Series — U.S. Economic Time Series to LlamaIndex
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.