FRED GeoFRED — Regional Economic Data MCP Server for LlamaIndex 3 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add FRED GeoFRED — Regional Economic Data as an MCP tool provider through 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 GeoFRED — Regional Economic Data. "
"You have 3 tools available."
),
)
response = await agent.run(
"What tools are available in FRED GeoFRED — Regional Economic Data?"
)
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 GeoFRED — Regional Economic Data MCP Server
Compare economic performance across U.S. regions. GeoFRED turns national time series into cross-sectional geographic data.
LlamaIndex agents combine FRED GeoFRED — Regional Economic Data tool responses with indexed documents for comprehensive, grounded answers. Connect 3 tools through 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
- Regional Snapshots — Unemployment, income, poverty, housing prices per state, county, or MSA
- Series Groups — Discover which geographic breakdowns exist for any FRED series
- Shape Data — Get GeoJSON-compatible boundaries for mapping
Region Types
state · county · msa · bea (Bureau of Economic Analysis) · frb (Federal Reserve District) · censusregion
The FRED GeoFRED — Regional Economic Data MCP Server exposes 3 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 GeoFRED — Regional Economic Data to LlamaIndex via MCP
Follow these steps to integrate the FRED GeoFRED — Regional Economic Data 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 3 tools from FRED GeoFRED — Regional Economic Data
Why Use LlamaIndex with the FRED GeoFRED — Regional Economic Data MCP Server
LlamaIndex provides unique advantages when paired with FRED GeoFRED — Regional Economic Data through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine FRED GeoFRED — Regional Economic Data tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain FRED GeoFRED — Regional Economic Data tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query FRED GeoFRED — Regional Economic Data, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what FRED GeoFRED — Regional Economic Data tools were called, what data was returned, and how it influenced the final answer
FRED GeoFRED — Regional Economic Data + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the FRED GeoFRED — Regional Economic Data MCP Server delivers measurable value.
Hybrid search: combine FRED GeoFRED — Regional Economic Data real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query FRED GeoFRED — Regional Economic Data 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 GeoFRED — Regional Economic Data for fresh data
Analytical workflows: chain FRED GeoFRED — Regional Economic Data queries with LlamaIndex's data connectors to build multi-source analytical reports
FRED GeoFRED — Regional Economic Data MCP Tools for LlamaIndex (3)
These 3 tools become available when you connect FRED GeoFRED — Regional Economic Data to LlamaIndex via MCP:
get_geo_shapes
Shape values: bea, msa, frb, necta, state, country, county, censusregion. Get geographic shape files for mapping
get_regional_data
Use get_series_group first to find the series_group ID for a FRED series. Region types: state, county, msa, bea, frb, necta, country, censusregion. Get cross-sectional regional economic data
get_series_group
Enter a FRED series ID (e.g., UNRATE for unemployment) to discover the series_group ID, available region types, units, and seasonality. Get series group info for GeoFRED mapping
Example Prompts for FRED GeoFRED — Regional Economic Data in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with FRED GeoFRED — Regional Economic Data immediately.
"What is the unemployment rate by state?"
"Compare median household income across metro areas"
"Get the geographic boundaries for U.S. states"
Troubleshooting FRED GeoFRED — Regional Economic Data MCP Server with LlamaIndex
Common issues when connecting FRED GeoFRED — Regional Economic Data to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFRED GeoFRED — Regional Economic Data + LlamaIndex FAQ
Common questions about integrating FRED GeoFRED — Regional Economic Data 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?
Connect FRED GeoFRED — Regional Economic Data with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 GeoFRED — Regional Economic Data to LlamaIndex
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.