BLS OEWS
Pull official BLS occupational employment and wage statistics while scoping rates, salaries, and service pricing.
Overview
BLS OEWS MCP is a MCP server for the Validate phase that serves seven tools for official U.S. occupational wage and employment statistics.
What is this MCP server?
- 7 MCP tools for BLS Occupational Employment and Wage Statistics
- PyPI package bls-oews-mcp v0.2.7 with stdio transport
- Optional BLS_API_KEY for v2 API (500 requests per day)
- Works without a key on supported public access tiers per README
- From 1102tools federal-contracting MCP suite
- 7 tools documented in server description
- Version 0.2.7
- Optional BLS API v2: 500 requests per day with API key
Community signal: 12 GitHub stars.
What problem does it solve?
Pricing services or staffing assumptions without authoritative wage data leads to undercharging or unrealistic roadmaps.
Who is it for?
Solo consultants, micro-agencies, and founders pricing human-intensive offers or planning first hires.
Skip if: Builders who only need consumer price indexes without occupational wage breakdowns.
What do I get? / Deliverables
Agents can query BLS OEWS figures to ground rate cards, salary bands, and TAM narratives in federal statistics.
- Seven-tool OEWS query surface over MCP
- Occupation and area wage pulls for proposals
- Reproducible BLS citations in agent-generated docs
Recommended MCP Servers
Journey fit
How it compares
Federal wage data MCP with 7 tools, not a generic web scrape or CRM integration.
Common Questions / FAQ
Who is BLS OEWS MCP for?
Builders and contractors who need BLS-backed wage and employment figures inside an AI agent workflow.
When should I use BLS OEWS MCP?
While validating pricing, proposals, or hiring plans before you commit to a rate card or job description.
How do I add BLS OEWS MCP to my agent?
Install bls-oews-mcp from PyPI, configure stdio MCP, and set BLS_API_KEY if you want v2 limits of 500 requests per day.