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

Inject real-world BLS wage data directly into your Cursor agent's coding context.

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Connect BLS Wages — OEWS Occupational Employment MCP to Cursor

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

Ask AI about this MCP

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Claude

Perplexity

Generate code using live MCP Server wage data

The `query_bls` tool feeds real-time occupational employment and wage statistics directly into your active coding session. Instead of hardcoding stale salary tables or writing mock endpoints, your agent pulls live data to populate your application. This active integration lets you test your data visualization components with actual government figures. You write code that works with real API structures from day one.

Batch query 50 series simultaneously in Cursor

The `query_bls` tool allows you to run up to 50 concurrent lookbacks for complex data modeling tasks. Your Cursor agent can write scripts that fetch massive historical wage datasets without hitting API bottlenecks. You get raw JSON payloads via this MCP link immediately injected into your workspace. This setup bypasses the need for custom data pipelines during local development.

Translate occupational codes to raw data

The `query_bls` tool maps specific numerical series IDs to wage metrics for precise market analysis. Your agent interprets these raw inputs to build dynamic charts directly in your codebase. You avoid the headache of parsing government documentation manually. The agent handles the structural formatting so you can focus on building your UI.

Setup guide

Set up BLS Wages — OEWS Occupational Employment MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the BLS Wages — OEWS Occupational Employment MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent BLS Wages — OEWS Occupational Employment transactions." If the MCP tools are loaded correctly, Cursor will call the BLS Wages — OEWS Occupational Employment tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.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 Cursor

Create a .cursor/mcp.json file in your project root and paste the MCP server configuration details. Once configured, your Cursor agent can call the wage query tools during chat or inline edits.

Yes, when you use Cursor in Agent mode, the AI can independently execute queries to fetch the wage data it needs to write your code. You just need to provide the initial prompt and series requirements.

The MCP Server connects through Vinkius, which manages authentication and endpoints. You only need your single Vinkius token to link the server to your editor.

No, this server is built specifically for OEWS wage and employment statistics. It requires valid BLS series codes associated with occupational surveys to return data.

Yes, all data transmissions are isolated within secure, zero-trust environments. Your specific BLS Series IDs and wage queries are processed in memory by the MCP host and never written to persistent logs.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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