# Bureau of Labor Statistics Full MCP for AI Agents MCP

> Bureau of Labor Statistics Full gives your AI agent immediate, comprehensive access to six major US economic datasets. Query inflation tracking (CPI), nonfarm payrolls, local unemployment rates (LAUS), wage data by profession (OEWS), and job turnover metrics (JOLTS) all from one connection.

## Overview
- **Category:** brain-trust
- **Price:** Free
- **Tags:** economic-data, inflation-tracking, labor-statistics, wage-data, macro-economics, public-api

## Description

Running a full macroeconomic analysis used to mean stitching together dozens of disparate API calls, cross-referencing different government dashboards, and spending half a day just gathering the raw numbers. This MCP changes that. It gives your agent direct access to the entire American labor market picture—from national inflation trends down to specific wages in local areas.

Instead of treating each dataset (CPI, JOLTS, LAUS, OEWS) like an isolated spreadsheet, you can ask for a holistic view. For example, asking the model not just 'What was last month's unemployment?' but 'How did wage growth by profession change in tech hubs compared to national average inflation over the last five years?' The power of Vinkius is that all these metrics live together here, meaning your agent can run complex comparative models instantly. You get deep time-series data on jobs, wages, and pricing without leaving your chat window.

## Tools

### query_bls
Queries the generic BLS API for time series data, allowing up to 50 concurrent lookbacks using explicit BLS Series IDs.

## Prompt Examples

**Prompt:** 
```
Give me the total economic wrap-up: Inflation, Nonfarm payrolls, and Unemployment rate for the last month.
```

**Response:** 
```
📊 **Macroeconomic Indicator Suite**

1. **Inflation (CPI-U)**: +0.3% MoM (3.4% YoY)
2. **Jobs (Nonfarm)**: +216,000 jobs added
3. **Unemployment (CPS)**: 3.7% (unchanged)

These combined metrics indicate a resilient labor market supporting soft landing for inflation.
```

**Prompt:** 
```
Cross-reference finding jobs in Software Engineering with the average pay utilizing OEWS and JOLTS.
```

**Response:** 
```
💵 **Cross-Analysis: Tech Sector Demand**

Using job turnover data, the 'Information' sector shows 105,000 open roles. Cross-referencing wage codes (OEWS), the median wage for Software Developers sits at **$132,270** annually. The combined metrics show extremely high retention and premium compensation remaining steady.
```

**Prompt:** 
```
Compare local unemployment in Texas vs California down to the exact points.
```

**Response:** 
```
📍 **LAUS Comparison: TX vs CA**

- **Texas**: 3.9% Unemployment (Stable)
- **California**: 5.1% Unemployment (Rising)

Texas currently maintains a stark advantage in labor absorption rates compared to the tightening markets in California metros.
```

## Capabilities

### Run comprehensive economic queries
Query historical trends across multiple major datasets like CPI, Nonfarm payrolls, and local unemployment rates.

### Analyze wage shifts by location
Cross-reference specific occupational wages (OEWS) with job opening data (JOLTS) for precise regional compensation analysis.

### Track local area labor metrics
Compare state and county unemployment levels using the Local Area Unemployment Statistics (LAUS).

### Model inflation and pricing history
Access historical Consumer Price Index (CPI) data and other major price indices for tracking inflationary pressures.

## Use Cases

### Determining Tech Sector Demand vs. Compensation
Instead of manually finding open roles in a specific industry and then checking the average salary, ask your agent to cross-reference job openings (JOLTS) with median wage data (OEWS). You immediately get both the volume of demand and the current compensation level for that sector.

### Comparing State Economic Health
You need to know which region is more stable. Ask your agent to compare local unemployment rates between two states (e.g., TX vs CA) using LAUS metrics, giving you a clear snapshot of labor absorption strength.

### Modeling the Total Economic Picture
You need an executive summary that combines inflation, job creation, and unemployment rate for last month. You prompt your agent with all three core concepts to get one combined 'Macroeconomic Indicator Suite' report.

## Benefits

- You gain instant access to six core datasets, letting your agent analyze everything from inflation (CPI) to local job availability (LAUS). No more jumping between multiple government websites.
- The ability to cross-reference high-level metrics with granular detail is huge. For instance, you can compare national nonfarm payrolls against hyper-specific wages per profession using OEWS.
- You don't just get a single number; you get time series data covering decades of economic history. This lets your agent build trend lines and spot cyclical patterns instantly.
- The tool helps with cross-regional comparisons, like comparing unemployment rates in Texas versus California down to the exact point using LAUS metrics.
- It handles job turnover analysis (JOLTS) alongside salary data, letting you see if high quitting rates translate into higher compensation demands.

## How It Works

The bottom line is you get to run complex macro-economic reports just by asking a natural language query, pulling data from six major government sources at once.

1. Sign up for a free BLS Developer API Key, which provides the necessary access credentials.
2. Configure your AI client to use this MCP connection, authenticating the agent with your unique key.
3. Ask your agent a specific question that requires multiple economic datasets (e.g., 'Compare wage growth in California vs Texas using LAUS and OEWS').

## Frequently Asked Questions

**How can I use the Bureau of Labor Statistics Full MCP to track inflation over time?**
You can ask your agent for historical CPI-U data across specific years and months. This allows you to see exactly how prices have changed over decades, which is key for long-term financial modeling.

**Does this MCP help me compare job market strength between different states?**
Yes. By using the Local Area Unemployment Statistics (LAUS), you can ask your agent to generate a direct comparison of unemployment rates between any two states or counties, giving you a clear picture of regional labor health.

**What is the best way to find out wage data for specific jobs?**
You simply tell the MCP the job title and location. It cross-references that information with OEWS data to give you highly accurate, professional median wages for that exact role in that area.

**Can I get a single report combining jobs created and inflation?**
Absolutely. You can prompt your agent for a 'total economic wrap-up.' It pulls together Nonfarm payrolls, CPI data, and unemployment rates into one actionable summary.

**Is the Bureau of Labor Statistics Full MCP good for investment research?**
Yes. Because it covers job turnover (JOLTS), wages (OEWS), and overall economic health (CPI/CPS), you get all the core metrics needed to model market risk and opportunity.