How to Use the BLS JOLTS — Job Openings, Quits & Turnover MCP in Claude Code

Q: How do I add the BLS JOLTS — Job Openings, Quits & Turnover MCP server to Claude Code?

Run the claude mcp add command in your terminal. Specify the transport as HTTP and provide the Vinkius endpoint URL.

Pipe live US labor market data directly into your terminal scripts using Claude Code and raw BLS endpoints.

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Setup BLS JOLTS — Job Openings, Quits & Turnover with Claude Code

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The `get_jolts_data` tool fetches national-level job openings, quits, and hires directly into your shell. This allows you to pipe economic metrics into local data processing scripts without leaving the terminal. You can trigger automated reports directly from your command line. The agent executes the queries, processes the raw JSON, and outputs clean tables.

Batch timeseries pulls via command line

The `query_bls` tool executes raw timeseries queries using explicit BLS Series IDs inside your terminal session via MCP. It supports up to 50 concurrent lookbacks, making bulk data extraction simple. Your agent handles the raw API payload formatting behind the scenes. It outputs structured data that you can immediately redirect to local CSV files.

Automate economic data pipelines

The `get_jolts_data` tool exposes critical indicators of labor market tightness to your terminal environment. Claude Code uses these endpoints to run automated cron jobs that track macroeconomic shifts. You don't need to write custom curl commands or manage session state. The CLI agent connects to the endpoint and returns the exact metrics you specified.

Setup guide

Set up BLS JOLTS — Job Openings, Quits & Turnover 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-jolts-job-openings-quits-turnover-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest BLS JOLTS — Job Openings, Quits & Turnover transactions." It will automatically discover and invoke the available BLS JOLTS — Job Openings, Quits & Turnover tools.

Terminal

claude mcp add --transport http bls-jolts-job-openings-quits-turnover-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 JOLTS — Job Openings, Quits & Turnover 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-jolts-job-openings-quits-turnover-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about BLS JOLTS — Job Openings, Quits & Turnover MCP in Claude Code

Run the `claude mcp add` command in your terminal. Specify the transport as HTTP and provide the Vinkius endpoint URL.

Yes, you can command the terminal agent to fetch the data and pipe the resulting JSON directly into local CLI tools like jq.

No, the terminal agent must query the live Vinkius MCP endpoint to fetch the latest US labor metrics.

The query tool allows a maximum of 50 concurrent lookbacks. The agent will notify you if your query exceeds this API threshold.

All connections go through HTTPS to ephemeral V8 isolates. Only the requested JOLTS labor survey metrics and series IDs are processed, ensuring your terminal history and environment variables stay private.

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