BLS OEWS MCP

Name: BLS OEWS MCP
Author: 1102tools

@1102tools

BLS OEWS MCP について

MCP server for the BLS Occupational Employment and Wage Statistics API: ~830 occupations across 530+ metro areas with employment counts, mean/median wages, and full percentile distributions at national, state, and metro levels. 7 tools.

#bls #wages #labor-market #oews #soc-codes #igce #salary-data #government-data

基本情報

カテゴリ

その他

トランスポート

stdio

公開者

1102tools

投稿者

James

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "bls-oews": {
      "command": "uvx",
      "args": [
        "--refresh-package",
        "bls-oews-mcp",
        "--from",
        "bls-oews-mcp",
        "bls-oews-mcp"
      ],
      "env": {
        "BLS_API_KEY": "your-key-here"
      }
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is BLS OEWS MCP?

A Model Context Protocol server that wraps the BLS Occupational Employment and Wage Statistics API as deterministic tool calls. It provides market wage data tied to SOC codes and geography for IGCE developers, contract price analysts, HR compensation teams, and federal labor cost benchmarkers.

How to use BLS OEWS MCP?

Install via uvx bls-oews-mcp or pip install bls-oews-mcp. Optionally set a BLS_API_KEY environment variable for higher rate limits. Configure in any MCP-compatible client (Claude Desktop, Codex, Gemini CLI, Copilot, Cursor, Cline, Zed, Continue) using the JSON or TOML config shown in the README.

Key features of BLS OEWS MCP

Search occupations by keyword or SOC code
Retrieve mean, median, and full percentile wage distributions
Filter wage data by geographic level and ownership type
Compare wages across multiple metros for one occupation
Compare multiple occupations in a single metro
Generate IGCE wage benchmarks with data vintage tracking
Detect the most current year of available BLS data

Use cases of BLS OEWS MCP

Build IGCEs grounded in real BLS market wage data
Cross-reference contractor proposed labor rates against market distributions
Federal labor cost analyses for budget submissions and program reviews
Geographic wage differential analysis across metro areas
Justify wage increases or labor category placements with documented market data

FAQ from BLS OEWS MCP

Do I need a BLS API key?

No, the server works without a key at reduced rate limits. An optional free key from the BLS registration engine gives 500 queries per day.

How current is the wage data?

BLS OEWS data is published annually with a typical 12–18 month lag. The server includes a detect_latest_year tool to check the most recent vintage available.

What tools are included?

Seven tools covering occupation search, wage data retrieval per SOC/geography, cross-geographic comparison (compare_metros, compare_occupations), an IGCE wage benchmark tool, and data vintage detection.

Is the server hardened for production use?

Yes, it has been live-audited against the production BLS endpoint across multiple rounds and handles rate limiting, MSA code variants, suppressed data flags, and schema drift.

Is this part of a larger suite?

Yes, it is part of the 1102tools suite which includes eight federal contracting MCPs and six Claude Skills.

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