How to Use the FRED GeoFRED — Regional Economic Data MCP in Cursor

Q: Can I use this to compare different MSA datasets?

You can use getseriesgroup to find the correct data series and then loop through multiple MSAs using getregionaldata to perform comparative analysis.

Inject live economic data into your code using Cursor. Map regional indicators from FRED GeoFRED — Regional Economic Data instantly.

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Connect FRED GeoFRED — Regional Economic Data MCP to Cursor

Create your Vinkius account to connect FRED GeoFRED — Regional Economic Data to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup FRED GeoFRED — Regional Economic Data with Cursor

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Fetch precise shapes in Cursor

Call `get_geo_shapes` to retrieve coordinate data for your visualizations. This avoids the need for external shapefile management while coding. Your agent can now programmatically define regional boundaries. This results in cleaner code that relies on live, accurate geographic inputs rather than hardcoded geometry.

Query regional stats for your app

Use `get_series_group` to discover the right identifiers for your economic metrics. This step ensures you are targeting the correct units and seasonality before you write your data-fetching logic. After setting your parameters, `get_regional_data` pulls the actual figures into your editor. You get real-time access to GDP and unemployment stats as you build your application.

Automate local economic reporting

Create scripts in Cursor that cycle through multiple regions using `get_regional_data`. This allows your agent to aggregate data across multiple counties or MSAs without manual intervention. This process creates a highly efficient pipeline for generating reports. You spend less time formatting queries and more time interpreting the underlying economic trends.

Setup guide

Set up FRED GeoFRED — Regional Economic Data MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the FRED GeoFRED — Regional Economic Data MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent FRED GeoFRED — Regional Economic Data transactions." If the MCP tools are loaded correctly, Cursor will call the FRED GeoFRED — Regional Economic Data tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "fred-geofred-regional-economic-data-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about FRED GeoFRED — Regional Economic Data MCP in Cursor

Add the server configuration to your .cursor/mcp.json file. Once added, enable Agent mode in your chat to start using the tools directly in your codebase.

Yes. By defining the server in your project-level configuration, every file in your repository can access these economic tools during agent-driven development.

The server operates within the constraints of your local environment. It only communicates with the FRED API to fetch public economic records and never touches your private repository secrets.

You can use `get_series_group` to find the correct data series and then loop through multiple MSAs using `get_regional_data` to perform comparative analysis.

The main benefit is the ability to write code that uses verified economic data without leaving your IDE. It removes the friction of switching between browser-based data lookups and your code editor.

Use it with your favorite AI tools

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