How to Use the FRED Series — U.S. Economic Time Series MCP in Windsurf

Q: Can Windsurf use FRED Series — U.S. Economic Time Series to pull specific economic indicators?

Yes, Cascade uses getseries to pull metadata for major indicators like GDP, UNRATE, or CPIAUCSL. It then chains that with other tools to pull the exact data points you need for your local files.

Pull raw FRED economic indicators directly into Windsurf to build and test models without leaving your workspace.

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Connect FRED Series — U.S. Economic Time Series MCP to Windsurf

Create your Vinkius account to connect FRED Series — U.S. Economic Time Series to Windsurf 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 Series — U.S. Economic Time Series with Windsurf

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Pull raw data values directly with Windsurf

`get_observations` pulls raw economic data points directly into your active workspace using specific filters like date ranges or unit transformations. Cascade initiates this tool to grab historical figures for GDP or inflation without needing you to write boilerplate API wrappers. Running analysis on the spot becomes trivial because Cascade feeds these observations directly into your active scripts.

Search 816,000+ series from your editor

`search_series` scans over 816,000 U.S. economic time series right inside your active session. Cascade runs this query to find relevant series IDs based on your plain-English requests. Your agent extracts the most popular IDs from the search results and immediately uses them to build your data-fetching scripts.

Track revisions using vintage dates

`get_vintage_dates` exposes the historical revision history for any specific economic release, letting you see exactly what data was available at a specific point in time. This is critical for backtesting trading algorithms where subsequent data revisions might skew your historical simulation results. Cascade chains this with `get_series_updates` to monitor recent data releases. You avoid the classic mistake of training models on backfilled data that wasn't actually available to traders on that historical date.

Setup guide

Set up FRED Series — U.S. Economic Time Series 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 Series — U.S. Economic Time Series 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 Series — U.S. Economic Time Series payment history." If connected, Cascade will call the FRED Series — U.S. Economic Time Series tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "mcpServers": {
    "fred-series-us-economic-time-series-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 Series — U.S. Economic Time Series MCP in Windsurf

Open your Windsurf settings and add the server configuration under the mcpServers key in your `~/.codeium/windsurf/mcp_config.json` file. Once you save and click refresh in the MCP panel, Cascade auto-discovers all five tools and starts using them in your conversations.

Yes, Cascade uses `get_series` to pull metadata for major indicators like GDP, UNRATE, or CPIAUCSL. It then chains that with other tools to pull the exact data points you need for your local files.

You tell Cascade what transformation you want, and it passes that parameter directly to `get_observations`. The server handles calculations like percent changes or log scales before delivering the clean data to your workspace.

Cascade runs multi-step tasks autonomously, meaning it can search for a series, fetch its observations, and write them to a CSV without you prompting each step. This makes building local datasets incredibly fast.

Your API key and query parameters stay inside the Vinkius sandboxed environment. The server only passes the final, requested economic data back to your local client, keeping your credentials completely isolated from external eyes.

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