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

Q: How does Windsurf use the BLS Wages — OEWS Occupational Employment server to automate salary research?

Cascade calls the querybls tool to fetch raw timeseries data directly. It then writes scripts to parse these metrics and updates your local project files in one autonomous sequence.

Q: Where do I configure the BLS Wages — OEWS Occupational Employment MCP Server in Windsurf?

Open your /.codeium/windsurf/mcpconfig.json file and add the server configuration under the mcpServers key. You can also use the Settings UI under Cascade MCP Servers to paste the Vinkius connection details.

Get exact wage data from the BLS directly inside Windsurf to let Cascade build real-time compensation models.

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

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Pull raw wage series data directly into Cascade

The `query_bls` tool lets Cascade pull historical wage and employment metrics directly into your active workspace. You feed Cascade the numeric Series IDs, and it pulls up to 50 concurrent lookbacks in a single run. Cascade reads these raw numbers and immediately updates your local CSVs or database files. This removes the need to manually browse government portals or copy-paste messy tables into your code.

Let Windsurf build compensation models autonomously

Feed raw occupational statistics directly into your workspace context using the `query_bls` tool. This MCP Server exposes raw wage data, letting Cascade analyze the output to map out salary distributions across different states. Because Cascade chains actions, it does not just fetch the data. It writes the Python scripts to plot the trends, runs the code, and saves the charts to your directory without you writing a line.

Verify hiring budgets against real-world BLS data

Run the `query_bls` tool to pull actual median earnings for specific professions before setting your hiring budgets. Cascade uses this data to flag roles where your planned salaries fall below state averages. You get direct access to official government numbers right next to your source code. Cascade drafts the budget reports based on these exact figures, keeping your financial planning grounded in real data.

Setup guide

Set up BLS Wages — OEWS Occupational Employment 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 Wages — OEWS Occupational Employment 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 Wages — OEWS Occupational Employment payment history." If connected, Cascade will call the BLS Wages — OEWS Occupational Employment tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "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 Windsurf

Cascade calls the `query_bls` tool to fetch raw timeseries data directly. It then writes scripts to parse these metrics and updates your local project files in one autonomous sequence.

Yes, you can query up to 50 series IDs at the same time. Cascade handles the batching and formats the output into clean JSON for your active files.

Open your `~/.codeium/windsurf/mcp_config.json` file and add the server configuration under the `mcpServers` key. You can also use the Settings UI under Cascade MCP Servers to paste the Vinkius connection details.

No, Vinkius handles the underlying authentication for you. Your agent connects using a single secure endpoint token, so you do not have to manage separate government API credentials.

Vinkius processes your BLS Series IDs and query parameters in a secure, ephemeral sandbox. Your requested occupational wage data is fetched directly from the official BLS API, and no query history is ever stored or shared.

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