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Explorer/MCP/1102moderator/bls-oews-mcp
LOCAL

BLS OEWS

1102moderator/bls-oews-mcp

MCP server for BLS Occupational Employment and Wage Statistics (OEWS). Market wage data for IGCE development, labor rate benchmarking, and price analysis on federal contracts. Covers ~830 occupations across 530+ metro areas. Returns employment counts, mean/median wages, and full percentile distributions (10th/25th/50th/75th/90th) at national, state, and metro levels. **7 tools.** Optional free BLS API key raises the rate ceiling to 500 queries/day via the v2 API. Without a key, falls back to v1 at 25 queries/day. Hardened across 6 audit rounds with 218 regression tests. Built for GS-1102 contracting officers and pricing analysts.

7 tools available
The Ghost
This server runs locally on your machine. We can't scan it remotely; review the source code before installing.
Time indexed (4mo)
7toolsLocal/ STDIO4moindexed
Checked Aug 11, 2026
Quality Score
23/95
Emerging
Risk Score
0/100
Clean
How is this calculated?
Quality Breakdown
Tenure13/20
113 days indexed
Capability9.6/25
Tools: 4.6/13 (7 tools)
Description: 5/5
Endpoint: 0/7
Adoption0/25
Use count: 0/20 (0 uses)
Multi-registry: 0/5 (1 registry)
Reliability0/25
Currently live: 0/10
Uptime history: 0/15 No checks yet
Security scan: 0 pts in v1.0; ready to weight when coverage improves
Incomplete Data Cap (60)
Usage data is not available for this server. Quality is capped until adoption can be measured.
Risk
0Clean
No signals detected.
The scanner shows
This server runs locally. We can't scan it remotely; review the source code before installing.
First indexed Apr 25, 2026
Server Profile
Tools catalogued
7
7 tools available. Full list below.
Hosting
Local / STDIO
Runs on your machine. Has access to your filesystem, SSH keys, and environment variables.
Registry presence
Not verified
Not yet verified by the Official MCP Registry.
Liveness
No liveness checks recorded yet.
Publisher Verification
Not yet verified by the Official MCP Registry.
Tools (7)
get_wage_data
Get wage data for an occupation by SOC code. This is the primary tool for querying BLS OEWS wage statistics. occ_code: 6-digit SOC code without dash (e.g., '151252' for Software Developers, '131082' for Project Management Specialists). See list_common_soc_codes() for common mappings. scope + area_code: - 'national': no area_code needed (all US) - 'state': area_code = 2-digit state FIPS (e.g., '51' for VA, '11' for DC) - 'metro': area_code = 5-digit MSA code (e.g., '47900' for DC metro, '42660' for Seattle). See list_common_metros() for codes. industry: 6-digit industry code for national-only breakdowns. '000000' = all industries (default). Common: '541000' (Professional Services), '541500' (Computer Systems), '999100' (Federal Government). Industry breakdowns only work with scope='national'. datatypes: list of 2-digit codes. Default uses IGCE set: - '04' = Annual Mean Wage - '13' = Annual Median - '11' = Annual 10th Percentile - '15' = Annual 90th Percentile Other: '01' (Employment), '03' (Hourly Mean), '08' (Hourly Median), '12' (25th Percentile), '14' (75th Percentile). CRITICAL: Data year defaults to 2024 (May 2024 estimates). Do NOT pass 2025 or 2026. OEWS data lags ~2 years. Querying the current year returns nothing. Values of '-' mean wage >= $239,200/yr (capped). '*' means sample too small.
compare_metros
Compare wages for one occupation across multiple metro areas. Pass a list of 5-digit MSA codes (e.g., ['47900', '42660', '12580'] for DC, Seattle, Baltimore). Returns the specified wage measure for each metro. Use list_common_metros() to find codes. datatype: '04' (Annual Mean, default), '13' (Median), '03' (Hourly Mean). Max ~12 metros per call (each metro = 1 series, 50 series limit on v2).
compare_occupations
Compare wages across multiple occupations in one location. Pass a list of 6-digit SOC codes. Returns the specified wage measure for each occupation. Use list_common_soc_codes() to find codes. Max ~12 occupations per call.
igce_wage_benchmark
Get wage benchmarks formatted for IGCE development. Returns annual and hourly wages at mean, median, 10th, and 90th percentiles, plus estimated burdened hourly rates using the specified burden multiplier range. BLS wages are BASE wages (no fringe, overhead, G&A, or profit). Multiply by a burden factor to estimate fully-loaded rates: - 1.5x-1.7x: lean contractor - 1.8x-2.2x: mid-range professional services (default) - 2.0x-2.5x: large contractor with clearance overhead - 2.5x-3.0x: high-overhead (SCIF, deployed) The burdened range should roughly align with GSA CALC+ ceiling rates for comparable labor categories. If CALC+ >> burdened BLS, the role may require specialized skills or clearance overhead. Document the gap. Burden multipliers must be positive and burden_low <= burden_high. Reasonable range: 1.3 (lean) to 4.0 (high-overhead/clearance).
detect_latest_year
Probe the BLS API to check if a newer OEWS data year is available. OEWS data releases annually around April/May. The server defaults to 2024 (May 2024 estimates). This tool checks if 2025 data has been published yet by querying a known-good national series. Call this once at the start of an IGCE build to ensure you're using the latest available data.
list_common_soc_codes
List common SOC code mappings for federal IT and professional services. Use these codes with get_wage_data() and other tools. SOC codes are 6 digits without a dash (e.g., '151252' not '15-1252'). For the full SOC list: https://www.bls.gov/oes/current/oes_stru.htm
Show all 7 tools ↓
list_common_metros
List common metro area MSA codes for wage lookups. Use these codes with get_wage_data(scope='metro', area_code=...). Pass the 5-digit MSA code (the tool auto-pads to 7 characters). For the full MSA list: https://www.bls.gov/oes/current/msa_def.htm

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