FRED GeoFRED — Regional Economic Data MCP Server for Claude Code 3 tools — connect in under 2 minutes
Claude Code is Anthropic's agentic CLI for terminal-first development. Add FRED GeoFRED — Regional Economic Data as an MCP server in one command and Claude Code will discover every tool at runtime. ideal for automation pipelines, CI/CD integration, and headless workflows via Vinkius.
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# Your Vinkius token. get it at cloud.vinkius.com
claude mcp add fred-geofred-regional-economic-data --transport http "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
* 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.
Claude Code registers FRED GeoFRED — Regional Economic Data as an MCP server in a single terminal command. Once connected, Claude Code discovers all 3 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where FRED GeoFRED — Regional Economic Data data drives decisions without human intervention.
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 Claude Code 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 Claude Code via MCP
Follow these steps to integrate the FRED GeoFRED — Regional Economic Data MCP Server with Claude Code.
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
Add the MCP Server
Run the command above in your terminal
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
Start using FRED GeoFRED — Regional Economic Data
Ask Claude: "Using FRED GeoFRED — Regional Economic Data, show me...". 3 tools are ready
Why Use Claude Code with the FRED GeoFRED — Regional Economic Data MCP Server
Claude Code provides unique advantages when paired with FRED GeoFRED — Regional Economic Data through the Model Context Protocol.
Single-command setup: `claude mcp add` registers the server instantly. no config files to edit or applications to restart
Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks
Claude Code runs headlessly, enabling unattended batch processing using FRED GeoFRED — Regional Economic Data tools in cron jobs or deployment scripts
Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features
FRED GeoFRED — Regional Economic Data + Claude Code Use Cases
Practical scenarios where Claude Code combined with the FRED GeoFRED — Regional Economic Data MCP Server delivers measurable value.
CI/CD integration: embed FRED GeoFRED — Regional Economic Data tool calls in your deployment pipeline to validate configurations or fetch secrets before shipping
Headless batch processing: schedule Claude Code to query FRED GeoFRED — Regional Economic Data nightly and generate reports without human intervention
Shell scripting: pipe FRED GeoFRED — Regional Economic Data outputs into other CLI tools for data transformation, filtering, and aggregation
Infrastructure monitoring: run Claude Code in a cron job to query FRED GeoFRED — Regional Economic Data status endpoints and alert on anomalies
FRED GeoFRED — Regional Economic Data MCP Tools for Claude Code (3)
These 3 tools become available when you connect FRED GeoFRED — Regional Economic Data to Claude Code 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 Claude Code
Ready-to-use prompts you can give your Claude Code 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 Claude Code
Common issues when connecting FRED GeoFRED — Regional Economic Data to Claude Code through the Vinkius, and how to resolve them.
Command not found: claude
npm install -g @anthropic-ai/claude-codeConnection timeout
FRED GeoFRED — Regional Economic Data + Claude Code FAQ
Common questions about integrating FRED GeoFRED — Regional Economic Data MCP Server with Claude Code.
How do I add an MCP server to Claude Code?
claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.Can Claude Code run MCP tools in headless mode?
How do I list all connected MCP servers?
claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.Connect FRED GeoFRED — Regional Economic Data with your favorite client
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Connect FRED GeoFRED — Regional Economic Data to Claude Code
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.
