How to Use the BLS Wages — OEWS Occupational Employment MCP in Cline

Q: Can Cline write code based on the BLS Wages — OEWS Occupational Employment data?

Yes, Cline fetches the raw metrics using querybls and then writes the code to process it. It can build dashboards, generate CSVs, or write database seeders using the live data.

Cline uses live government wage data to write, test, and commit compensation dashboards.

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Connect BLS Wages — OEWS Occupational Employment MCP to Cline

Create your Vinkius account to connect BLS Wages — OEWS Occupational Employment to Cline 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 Wages — OEWS Occupational Employment with Cline

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Fetch raw labor statistics directly into Cline

The `query_bls` tool gives Cline direct access to historical wage and employment timeseries data. By passing specific BLS series codes, Cline pulls up to 50 concurrent metrics in a single execution loop. Cline uses this raw output to write your data access layers. Instead of writing mock data, your agent works with real, production-grade occupational figures from day one.

Build and test data pipelines with this MCP Server

This MCP Server relies on the `query_bls` tool to act as the primary data source for Cline to build and test end-to-end data pipelines. Cline runs the query to fetch raw JSON, writes the parsing logic, and runs local tests to ensure your pipeline handles the payload correctly. If a test fails because of a format mismatch, Cline reads the error log, fixes the parser, and runs the tests again. You watch the entire integration happen in your terminal without touching your keyboard.

Generate live salary charts in your VS Code workspace

Trigger the `query_bls` tool to pull state-by-state median earnings for any profession. Cline takes this raw data, creates a React chart component, and installs the required charting libraries automatically. Once the component is ready, Cline runs a local development server so you can review the visual output. It handles the entire lifecycle from raw data extraction to a working user interface.

Setup guide

Set up BLS Wages — OEWS Occupational Employment MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type bls-wages-oews-occupational-employment-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest BLS Wages — OEWS Occupational Employment refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

{
  "mcpServers": {
    "bls-wages-oews-occupational-employment-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about BLS Wages — OEWS Occupational Employment MCP in Cline

Open the Cline sidebar and click the MCP Servers icon. Go to the Remote Servers tab to add the Vinkius URL, or paste the configuration directly into your `cline_mcp_settings.json` file.

Yes, Cline fetches the raw metrics using `query_bls` and then writes the code to process it. It can build dashboards, generate CSVs, or write database seeders using the live data.

The server allows up to 50 concurrent lookbacks per request. Cline manages these limits during complex tasks, ensuring your queries stay within bounds while fetching historical wage series.

No, Vinkius hosts the server on a secure, remote infrastructure. Cline connects directly to the hosted endpoint, meaning you don't have to manage local dependencies or Node runtimes.

No, all queries containing your BLS Series IDs and occupational wage metrics run inside an isolated, zero-trust sandbox. The data is processed in-memory to execute the request and is never persisted on external disks.

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