How to Use the BLS Prices — Consumer Price Index (CPI) & Inflation MCP in Windsurf

Feed real-time US inflation data directly to Windsurf Cascade for instant macroeconomic analysis and automated financial modeling.

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Connect BLS Prices — Consumer Price Index (CPI) & Inflation MCP to Windsurf

Create your Vinkius account to connect BLS Prices — Consumer Price Index (CPI) & Inflation 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 BLS Prices — Consumer Price Index (CPI) & Inflation with Windsurf

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Run CPI analysis inside Windsurf Cascade

The `get_cpi_inflation` tool pulls US Consumer Price Index baseline metrics directly into your active workspace. Cascade reads this raw macroeconomic data, identifies cost-of-living shifts, and adjusts your local financial models without you writing a single line of fetch logic. You specify the target year, and this MCP Server handles the rest. Your agent handles the API handshake, parses the economic indexes, and outputs structured data ready for your spreadsheets or charts.

Bulk query historical BLS timeseries

The `query_bls` tool lets you run generic BLS v2 API timeseries queries using explicit series IDs. Cascade can batch up to 50 concurrent lookbacks in a single run, pulling historic PPI or CPI-U tracking numbers directly into your scripts. This MCP configuration avoids the pain of manually searching government databases. Your agent chains the data retrieval with your local python scripts to plot inflation trends instantly.

Auto-adjust prices for inflation

The `get_cpi_inflation` tool calculates exact consumer buying power anomalies over custom timeframes. Cascade uses these figures to update pricing tables in your database to match historical cost-of-living adjustments. Instead of guessing inflation impact, you get official government metrics fed straight to your local code. The agent writes the migration script and executes it based on the live API response.

Setup guide

Set up BLS Prices — Consumer Price Index (CPI) & Inflation 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 BLS Prices — Consumer Price Index (CPI) & Inflation 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 BLS Prices — Consumer Price Index (CPI) & Inflation payment history." If connected, Cascade will call the BLS Prices — Consumer Price Index (CPI) & Inflation tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "mcpServers": {
    "bls-prices-consumer-price-index-cpi-inflation-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about BLS Prices — Consumer Price Index (CPI) & Inflation MCP in Windsurf

Open your settings and add the server configuration under the mcpServers key in your ~/.codeium/windsurf/mcp_config.json file. Cascade will instantly discover the MCP tools upon saving the file.

Yes, Cascade chains multiple calls to pull up to 50 timeseries runs at once. It uses the underlying tools to fetch and process the data in one continuous workflow.

Vinkius manages the MCP connection details and BLS v2 API credentials securely on our hosted platform. You only need to add your single Vinkius endpoint token to your Windsurf configuration.

You can retrieve Producer Price Index metrics by passing the specific PPI series IDs to the general query tool. Your agent can look up the ID format and fetch the historical tables.

We run every request inside an isolated, zero-trust sandbox. Only the specific BLS series IDs and inflation parameters you query pass through our servers, keeping your local codebase completely private.

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