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

Q: How do I add the BLS Wages — OEWS Occupational Employment MCP Server to Claude Code?

Run the command claude mcp add --transport http bls-wages -- in your terminal. This adds the configuration to your local /.claude.json file.

Pipe official BLS wage data directly to your terminal tools and automation scripts with Claude Code.

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Connect BLS Wages — OEWS Occupational Employment MCP to Claude Code

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

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Query labor statistics directly from your shell

The `query_bls` tool brings federal wage databases straight to your command-line interface. By executing this tool with specific series codes, Claude Code pulls up to 50 concurrent data points and outputs them as raw JSON. You can pipe this output directly into local utilities like `jq` or redirect it to a file. It eliminates the need to write custom curl scripts or manage raw API headers in your terminal.

Automate cron jobs and pipelines with this MCP Server

This MCP Server exposes the `query_bls` tool to let you run automated data collection scripts inside your CI/CD pipelines or cron schedules. Claude Code invokes the tool headlessly to check for updated occupational wage metrics. If the server detects new quarterly or annual updates, it can automatically trigger downstream build steps. This keeps your internal databases synced with official government records without manual intervention.

Build headless database seeders on the fly

Use the `query_bls` tool to pull raw salary figures for database seeding. Claude Code writes the SQL migration scripts, inserts the live government data, and executes the migration against your local database. Since Claude Code runs entirely in the terminal, it handles this entire sequence without a GUI. You get clean, verified seed data in your development database with a single CLI command.

Setup guide

Set up BLS Wages — OEWS Occupational Employment MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see bls-wages-oews-occupational-employment-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest BLS Wages — OEWS Occupational Employment transactions." It will automatically discover and invoke the available BLS Wages — OEWS Occupational Employment tools.

Terminal

claude mcp add --transport http bls-wages-oews-occupational-employment-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
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

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

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

Get your connection token →

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Common questions about BLS Wages — OEWS Occupational Employment MCP in Claude Code

Run the command `claude mcp add --transport http bls-wages -- ` in your terminal. This adds the configuration to your local `~/.claude.json` file.

Yes, this setup works perfectly in SSH sessions, Docker containers, or CI/CD pipelines. Claude Code executes the `query_bls` tool via the command line without requiring a graphical interface.

The server returns raw JSON payloads containing the requested wage timeseries. Claude Code parses this JSON and prints it to stdout or writes it directly to your designated files.

The server supports standard HTTP and SSE transport protocols. You define the transport type when running the add command, allowing secure communication between your terminal and Vinkius.

No, Vinkius handles all requests in an ephemeral V8 sandbox. Your BLS Series IDs and query parameters are processed strictly to fetch the data from the federal API and are discarded immediately afterward.

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