BLS Jobs — Nonfarm Payrolls & Wages MCP Server
Access the definitive source for US employment growth. Query Nonfarm Payrolls, private sector job creation, and average hourly earnings tracked by the BLS Current Employment Statistics (CES) program.
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What is the Bureau of Labor Statistics MCP Server?
The Bureau of Labor Statistics MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Bureau of Labor Statistics via 2 tools. Access the definitive source for US employment growth. Query Nonfarm Payrolls, private sector job creation, and average hourly earnings tracked by the BLS Current Employment Statistics (CES) program. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (2)
Tools for your AI Agents to operate Bureau of Labor Statistics
Ask your AI agent "What was the total Nonfarm Payroll growth in the last quarter?" and get the answer without opening a single dashboard. With 2 tools connected to real Bureau of Labor Statistics data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
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BLS Jobs — Nonfarm Payrolls & Wages MCP Server capabilities
2 toolsKey metric for forecasting Federal Reserve interest rate movements. Get Total Nonfarm Payroll employment (CES0000000001)
Use this instead of specific endpoints if you intimately know the underlying numerical code. Up to 50 concurrent lookbacks allowed. Generic BLS v2 api timeseries query. Requires explicit BLS Series IDs
What the BLS Jobs — Nonfarm Payrolls & Wages MCP Server unlocks
Connect to the exact datasets used by Wall Street and the Federal Reserve to monitor US Job growth. The Bureau of Labor Statistics Jobs MCP gives your agent direct access to the Current Employment Statistics (CES) program.
What you can do
- Nonfarm Payrolls — Fetch exactly how many jobs were added to the US economy each month.
- Sector Breakdowns — Drill down into tech, hospitality, or construction employment trends.
- Wages & Earnings — Query the average hourly earnings to monitor wage growth and labor tightness.
How it works
1. Sign up for a free BLS Developer API Key 2. Provide the key in the settings 3. Ask your AI to parse nonfarm payroll additions or track total average hourly wages over the last 10 years.Who is this for?
- Financial Analysts & Traders — Build models off the monthly jobs report (NFP)
- HR Professionals & Recruiters — Monitor macro labor trends
- Journalists — Fact-check employment cycles instantly
Frequently asked questions about the BLS Jobs — Nonfarm Payrolls & Wages MCP Server
How do I get started?
Subscribe, create a Free BLS Account at data.bls.gov/registrationEngine, and enter your API Key. No complex coding required — your AI will automatically parse the SeriesIDs for Nonfarm Payrolls and wages, retrieving the exact macro snapshots.
Are these numbers seasonally adjusted?
Yes, by default the AI interacts with the Seasonally Adjusted (SA) SeriesIDs for Nonfarm Payrolls, allowing you to track macro trends cleanly without the noise of holiday hiring surges.
Does this include agricultural (farm) jobs?
No. The CES (Current Employment Statistics) specifically tracks Nonfarm payrolls, representing about 80% of workers who produce the entire Gross Domestic Product of the United States.
Can I drill down into specific industries?
Absolutely. Ask your agent to fetch CES data for the 'Information' sector, 'Construction', or 'Leisure and Hospitality' to identify precisely which parts of the economy are hiring or firing.
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Connect BLS Jobs — Nonfarm Payrolls & Wages with your favorite client
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Give your AI agents the power of Bureau of Labor Statistics MCP Server
Production-grade BLS Jobs — Nonfarm Payrolls & Wages MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.