FRED GeoFRED — Regional Economic Data MCP Server for Google ADK 3 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add FRED GeoFRED — Regional Economic Data as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="fred_geofred_regional_economic_data_agent",
instruction=(
"You help users interact with FRED GeoFRED — Regional Economic Data "
"using 3 available tools."
),
tools=[mcp_tools],
)
* 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.
Google ADK natively supports FRED GeoFRED — Regional Economic Data as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 3 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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 Google ADK 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 Google ADK via MCP
Follow these steps to integrate the FRED GeoFRED — Regional Economic Data MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 3 tools from FRED GeoFRED — Regional Economic Data via MCP
Why Use Google ADK with the FRED GeoFRED — Regional Economic Data MCP Server
Google ADK provides unique advantages when paired with FRED GeoFRED — Regional Economic Data through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with FRED GeoFRED — Regional Economic Data
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine FRED GeoFRED — Regional Economic Data tools with BigQuery, Vertex AI, and Cloud Functions
FRED GeoFRED — Regional Economic Data + Google ADK Use Cases
Practical scenarios where Google ADK combined with the FRED GeoFRED — Regional Economic Data MCP Server delivers measurable value.
Enterprise data agents: ADK agents query FRED GeoFRED — Regional Economic Data and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine FRED GeoFRED — Regional Economic Data tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query FRED GeoFRED — Regional Economic Data regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including FRED GeoFRED — Regional Economic Data
FRED GeoFRED — Regional Economic Data MCP Tools for Google ADK (3)
These 3 tools become available when you connect FRED GeoFRED — Regional Economic Data to Google ADK 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 Google ADK
Ready-to-use prompts you can give your Google ADK 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 Google ADK
Common issues when connecting FRED GeoFRED — Regional Economic Data to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkFRED GeoFRED — Regional Economic Data + Google ADK FAQ
Common questions about integrating FRED GeoFRED — Regional Economic Data MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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Connect FRED GeoFRED — Regional Economic Data to Google ADK
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.
