com.1102toolsPublished by 1102tools.comOfficial publisherv1.1.6Updated Oct 29, 2026
BLS Occupational Employment and Wage Statistics market wages, bundled; no API key. 8 tools.
The publisher's own server: Acquisition.gov
Bundled BLS OEWS wage statistics: look up, compare and benchmark occupational wages by SOC code and metro area, with no API key.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/com.1102tools%2Fbls-oews-mcp/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Add this to your client's mcpServers config.
{
"mcpServers": {
"bls-oews": {
"type": "http",
"url": "https://bls-oews.1102tools.com/mcp"
}
}
}[price: free] [license: MIT] [tools: 8] [regression tests]
Free, open-source MCP server for BLS Occupational Employment and Wage Statistics (OEWS) market wages. For IGCE development, price analysis, and labor market research.
Overview, demo video and hosted setup: https://1102tools.com/mcp/bls-oews
No API key and no daily limit. The package bundles the current OEWS release (May 2025 estimates, published by BLS on May 15, 2026) as a read-only database built from BLS's published flat files, so every answer is local and each result cites the BLS release, publication date, retrieval date, and source file. See Local or hosted.
When BLS publishes no number for a wage measure, answers keep the BLS footnote that explains why and suggest the published hourly or annual alternative. Top-coded wages keep BLS's published lower bound; the server does not invent an exact wage or annualize hourly-only occupations.
Regression tests, and realistic contracting wage questions checked against BLS source values before release. See testing.md.
Compare local and hosted · Matching prompts
Answers OEWS questions from the bundled release through 8 MCP tools:
Core
get_wage_data - Wage statistics for an occupation by SOC code (national, state, or metro)compare_metros - Compare wages for one occupation across multiple metro areascompare_occupations - Compare wages across multiple occupations in one locationWorkflow
igce_wage_benchmark - Wage benchmarks with burdened rate estimates for IGCE developmentdetect_latest_year - Report the bundled OEWS data year and releaseReference
list_common_soc_codes - SOC code mappings for federal IT/professional serviceslist_common_metros - Metro area MSA codesget_data_status - The bundled release, its BLS source files with SHA-256 and publication dates, and the retrieval dateThe bundled database is built by scripts/build_oews_db.py from the BLS OEWS flat files at download.bls.gov/pub/time.series/oe/: national, state, metropolitan and nonmetropolitan area, and national industry estimates for every occupation and all 17 OEWS datatypes, including the relative standard errors. data/manifest.json records each source file's URL, size, SHA-256, and BLS publication date. A weekly check reports when BLS publishes a new release, which ships as a new package version.
BLS.gov cannot vouch for the data or analyses derived from these data after the data have been retrieved from BLS.gov.
Use the configuration below as the server definition and adapt its placement to your compatible MCP client. For practical requests using this source, see the prompt library.
The --refresh-package flag tells uv to check PyPI for a newer release each time your client launches the server, so fixes and new OEWS releases arrive automatically; without it, uv keeps serving whatever version it first cached. It adds a moment of network time at startup, so raise your platform's MCP startup timeout if it enforces a short one.
On first use the server decompresses the bundled database (about 50 MB) into your user cache directory; set BLS_OEWS_DATA_DIR to put it elsewhere.
Restart the client and the tools appear.
BLS OEWS data represents employer-reported base wages (no fringe, overhead, G&A, or profit). To estimate fully burdened hourly rates for an IGCE, apply a burden multiplier:
The igce_wage_benchmark tool applies the multiplier automatically. OEWS wages are estimates for the release's May reference month, so escalate them to the period of performance; the tool's wage_period and _escalation_note say which month.
OEWS publishes about a year in arrears. The server answers from the bundled release, 2025 (May 2025 estimates, published May 15, 2026); other years raise a clear error pointing to the historical tables at bls.gov/oes/tables.htm. Omit the year argument in normal use, and call detect_latest_year or get_data_status to see the bundled release.
Use alongside gsa-calc-mcp (GSA CALC+ ceiling rates) for complete pricing analysis. BLS provides what the market pays; CALC+ provides what GSA contractors charge. Together they form the IGCE pricing toolkit.
MIT
Source: servers/bls-oews-mcp/readme.md at commit b30d160
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). Up to 50 metros per call.
yeardatatypeocc_coderequiredmetro_codesrequiredCompare 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. Up to 50 occupations per call.
yearscopedatatypearea_codeocc_codesrequiredDetect Latest Year
Report the OEWS data year this server answers from. OEWS releases annually in spring, and this server bundles the current release. Every tool defaults to that year. When BLS publishes a newer release, a new package version bundles it.
Takes no parameters.
Check Bundled OEWS Data
Report which OEWS release this server answers from and where it came from. Returns the bundled data year and release, the BLS source files with their SHA-256 and publication dates, the retrieval date, and row counts. No API key is used or needed.
Takes no parameters.
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, Scientific, and Technical Services), '541500' (Computer Systems Design and Related Services), '999100' (Federal Executive Branch (OEWS Designation)). Industry breakdowns only work with scope='national'. Federal IT staff mostly fall under 15-1299 (Computer Occupations, All Other), so 999100 with 15-1252 rests on few employees. 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 Hourly percentiles: '03' (Mean), '06' (10th), '07' (25th), '08' (Median), '09' (75th), '10' (90th). Annual percentiles: '11' (10th), '12' (25th), '13' (Median), '14' (75th), '15' (90th). Other: '01' (Employment); '16' (Employment per 1,000 Jobs) and '17' (Location Quotient) exist at state/metro scope only. '02' (Employment RSE) and '05' (Mean Wage RSE) are relative standard errors in percent, a measure of each estimate's reliability. Data year defaults to the OEWS release bundled with this server (get_data_status reports it). Do NOT pass the current calendar year: OEWS publishes about a year in arrears. Other years are rejected. Special values ('-', '*', '#') mean BLS did not
yearscopeindustryocc_coderequiredarea_codedatatypesIGCE Wage Benchmark
Get wage benchmarks formatted for IGCE development. Returns annual and hourly wages at the mean and the 10th, 25th, median, 75th, and 90th percentiles (25th/75th are the usual junior/senior anchors), plus estimated burdened hourly rates using the specified burden multiplier range. Hourly figures are BLS's published hourly wages (annual / 2080 only where BLS publishes no hourly wage). Also returns the cell's employment and relative standard errors (reliability) and flags thin estimates. Wages are point-in-time estimates for the OEWS reference month (wage_period in the response), not current rates: escalate them to the period of performance before pricing. 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).
yearscopeocc_coderequiredarea_codeburden_lowburden_highList 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
Takes no parameters.
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
Takes no parameters.
100% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
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uvx --refresh-package bls-oews-mcp --from bls-oews-mcp bls-oews-mcp{ "mcpServers": { "bls-oews": { "command": "uvx", "args": ["--refresh-package", "bls-oews-mcp", "--from", "bls-oews-mcp", "bls-oews-mcp"] } }}