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How to Use the FRED Series — U.S. Economic Time Series MCP in VS Code Copilot

Give your entire engineering team access to live U.S. economic data inside VS Code Copilot.

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VS Code Copilot

Connect FRED Series — U.S. Economic Time Series MCP to VS Code Copilot

Create your Vinkius account to connect FRED Series — U.S. Economic Time Series to VS Code Copilot 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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Implement Vintage Analysis

The `get_vintage_dates` tool pulls historical revision dates for ALFRED-style vintage analysis directly into your editor. Copilot uses these timestamps to help your team write backtesting functions that accurately reflect what the market knew on a given day. Economic indicators like GDP and inflation undergo heavy revisions after their initial release. By querying this endpoint, your agent ensures your data pipelines account for these changes rather than relying on a static, post-revision CSV.

Pull Macro Data with this MCP Server

The `get_observations` tool fetches the actual data values for any FRED time series. Copilot requests the raw numbers, applies unit transformations like percent change, and helps you map the JSON response to your database schema. Your team tracks newly released figures using the `get_series_updates` tool. The agent filters the latest St. Louis Fed drops by macro or regional tags, allowing you to build automated ingestion scripts for the M2SL money supply.

Search the Fed Database from Your Editor

The `search_series` tool scans 816,000+ official U.S. economic time series based on your natural language queries. You ask Copilot for the 10-year treasury yield, and it finds the DGS10 identifier by sorting the results by popularity. Once it has the ID, the agent runs the `get_series` tool to fetch the exact metadata. This gives your developers the correct frequency and unit definitions needed to write accurate type definitions for your application backend.

Setup guide

Set up FRED Series — U.S. Economic Time Series MCP in VS Code Copilot

Prerequisites

  • VS Code 1.99 or later with GitHub Copilot extension
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP configuration

    Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.

  2. 2

    Add the FRED Series — U.S. Economic Time Series MCP

    Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Switch to Agent mode

    Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.

  4. 4

    Verify the connection

    In the Copilot Chat input, type # to list available tools. You should see the FRED Series — U.S. Economic Time Series tools listed. Try asking: "List my recent FRED Series — U.S. Economic Time Series transactions" and Copilot will invoke them automatically.

.vscode/mcp.json
{
  "mcpServers": {
    "fred-series-us-economic-time-series-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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 VS Code Copilot

Add the MCP server configuration to your repository's `.vscode/mcp.json` file. Once committed, every developer on your team can query the `get_observations` tool through their chat panel.
The `search_series` tool queries the entire 816,000-record database. You give your agent a keyword like unemployment, and it returns the correct UNRATE identifier for your data pipelines.
You use the `get_vintage_dates` tool. Copilot queries this endpoint to find exactly when historical data was updated, which is strictly required for writing accurate financial backtesting code.
The API handles the math. Your agent passes a transformation parameter to the `get_observations` tool, returning log scales or percent changes directly to your editor.
The zero-trust Vinkius sandbox ensures strict isolation. Copilot sends only the requested series IDs and date strings to the public API, keeping your internal repository code completely private.

Start using the FRED Series — U.S. Economic Time Series MCP today

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