How to Use the FRED Full Access — U.S. Economic Intelligence MCP in Windsurf

Q: How do I configure FRED Full Access — U.S. Economic Intelligence in Windsurf?

Edit your /.codeium/windsurf/mcpconfig.json file or use the Cascade MCP UI. Add the server credentials and click refresh to sync the tools.

Q: Can Cascade find specific series without knowing the ID?

Yes. It uses searchseries to query the database by keyword. The agent sorts by popularity to find the most widely used metrics for your query.

Q: Does FRED Full Access — U.S. Economic Intelligence work with Windsurf for regional mapping?

It does. The server provides getgeoshapes to pull shapefiles for MSAs or counties. You then map unemployment or housing trends using the regional data endpoints.

Q: How does the agent handle large data releases?

Windsurf calls listreleases to monitor the economic calendar. When a release drops, it executes getreleaseseries to pull all updated indicators at once.

Give Windsurf direct access to 816,000 Federal Reserve economic data series for autonomous financial modeling.

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Setup FRED Full Access — U.S. Economic Intelligence with Windsurf

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Windsurf autonomously maps economic trends

This MCP Server exposes 19 distinct FRED endpoints directly to Cascade. You tell the agent to analyze historical inflation rates, and it figures out the rest. It starts by calling `search_series` to locate the exact CPI identifiers from the 816,000 available options. Once it finds the right metric, Cascade chains into `get_observations` to pull the raw data values. It handles the unit transformations such as percentage changes or log scales without asking you for permission. You get the final analysis while Windsurf does the heavy lifting in the background.

Cross-sectional regional data via MCP

This server eliminates manual CSV downloads by bringing regional economic indicators straight into your workspace. Windsurf uses `get_regional_data` to pull cross-sectional data for specific MSAs, states, or census regions directly into your local environment. The agent pairs this with `get_geo_shapes` to grab the exact boundary files needed for mapping. If you need to build a geographic dashboard of unemployment rates, Cascade writes the component and feeds it the live Federal Reserve data in one motion.

Backtest models with vintage dates

Financial models break when they suffer from look-ahead bias, which this MCP Server prevents by exposing historical revision dates. The `get_vintage_dates` tool shows the exact timeline of when the Federal Reserve updated specific numbers. Windsurf loops through these dates and pulls the data exactly as it appeared on a specific day in the past. Your backtesting scripts run against the real historical record, pulling from 107 different sources through a single integration.

Setup guide

Set up FRED Full Access — U.S. Economic Intelligence MCP in Windsurf

Prerequisites

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

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the FRED Full Access — U.S. Economic Intelligence MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my FRED Full Access — U.S. Economic Intelligence payment history." If connected, Cascade will call the FRED Full Access — U.S. Economic Intelligence tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "mcpServers": {
    "fred-full-access-us-economic-intelligence-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by FRED. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about FRED Full Access — U.S. Economic Intelligence MCP in Windsurf

Edit your `~/.codeium/windsurf/mcp_config.json` file or use the Cascade MCP UI. Add the server credentials and click refresh to sync the tools.

Yes. It uses `search_series` to query the database by keyword. The agent sorts by popularity to find the most widely used metrics for your query.

It does. The server provides `get_geo_shapes` to pull shapefiles for MSAs or counties. You then map unemployment or housing trends using the regional data endpoints.

Windsurf calls `list_releases` to monitor the economic calendar. When a release drops, it executes `get_release_series` to pull all updated indicators at once.

This integration only reads public macroeconomic time series and geographic shapes. No private financial data or user credentials touch the Federal Reserve endpoints. Your local workspace context remains isolated from the outgoing API requests.

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