mcp-wagewatch
This server provides tools to query and analyze U.S. Department of Labor Wage and Hour Division (WHD) enforcement data on concluded compliance actions since FY2005. You can:
Search for employer violations by name (or name fragment), optionally filtering by state. Results include case details like location, findings dates, back wages owed, civil penalties, and number of affected employees, sorted by largest back wages first.
Get aggregate summaries of total back wages, employees affected, civil penalties, and case counts for an employer and/or state, aggregated across up to 1,000 matching cases.
Browse top violations by state to discover the worst enforcement cases in a state, ordered by back wages, with an optional NAICS code prefix to filter by industry.
Retrieve full case details by case ID, including a per-statute breakdown of which labor laws were violated (e.g., FLSA, MSPA, H-1B, FMLA, Davis-Bacon, and child labor statutes).
This data is ideal for worker-justice research, legal-aid intake, and union investigations.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-wagewatchFind wage theft cases for Tyson Foods in Arkansas"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-wagewatch
MCP server over the U.S. Department of Labor Wage and Hour Division (WHD) enforcement dataset: employer wage-theft history, back wages owed, civil penalties, and affected-employee counts. Built for worker-justice nonprofits, legal-aid intake, and union researchers.
The data is the WHISARD compliance-action dataset (every concluded WHD compliance action since FY2005) served from the DOL Open Data API. This server wraps the raw column names (trade_nm, bw_atp_amt, ee_violtd_cnt, ...) into normalized tool outputs — field map below.
Tools
Tool | Arguments | Returns |
|
| Enforcement cases matching the employer name, largest back wages first. Per case: employer, location, findings dates, back wages, civil penalties, employees affected, violation count. |
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| Aggregate totals across matching cases: total back wages, total employees affected, total civil penalties, case count, findings date range. |
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| Top cases in a state where a violation was found, ordered by back wages. Optional NAICS-prefix industry filter. |
|
| Full record for one case, including the per-statute breakdown (which laws were cited: FLSA, MSPA, H-1B, FMLA, Davis-Bacon, child labor, and so on). |
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| The largest cases by back wages nationally, in a state, and/or in a date window — no employer name needed. |
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| Cases carrying the WHD repeat/willful violator flag (its data dictionary publishes R / W / RW). WHD characterization, not a court finding. |
Related MCP server: DOL WHD MCP
Data source
Base URL:
https://apiprod.dol.gov/v4Query path:
GET /get/WHD/enforcement/json(agencyWHD, endpointenforcement, tableWHD_enforcement)Auth: a free
X-API-KEY. The v4 API accepts it ONLY as a query parameter (the header form answers 401 — verified live), so the key rides the URL; be aware of that anywhere full request URLs are logged. This server's error messages never include the URL.Filtering: the
filter_objectquery parameter takes a JSON string withfield/operator/value(operatorseq,neq,gt,lt,in,not_in,like), composable withand/or. Paging vialimit/offset, ordering viasort_by/sort.Scope: one row per concluded compliance action since FY2005.
Sources:
DOL API User Guide (endpoint template, auth,
filter_objectsyntax): https://www.dataportal.dol.gov/pdf/dol-api-user-guide.pdfLive dataset catalog (agency/endpoint identifiers): https://apiprod.dol.gov/v4/datasets
Dataset landing page: https://catalog.data.gov/dataset/wage-and-hour-division-compliance-action-data
WHISARD column dictionary: https://github.com/jeremybmerrill/whd/blob/master/lib/data/whd_data_dictionary.csv
Field map (WHISARD column to normalized output)
WHISARD column | Normalized field |
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sum of statute-level |
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Notes:
There is no single total-CMP-dollar column in WHISARD.
cmp_assd_cntis a count of assessments; the dollar penalties live in per-statute columns (flsa_cmp_assd_amt,mspa_cmp_assd_amt,h1b_cmp_assd_amt, and so on).civil_penaltiessums those.back_wages_summaryaggregates client-side (the API does not expose a group-by), over up tomax_casesmatching rows (default 1000). Ifcappedis true the totals are a floor.Name search uses SQL
LIKEontrade_nmandlegal_name, wrapping the term as%term%. The endpoint'sLIKEis case-insensitive (confirmed live: mixed-case stored names match an uppercased term), andLIKEmetacharacters (%,_,\) are escaped so they match literally.A zero-match filter answers HTTP 204 with an empty body (confirmed live) — the server parses that as an empty result set, so "no concluded case found" is a real answer:
count: 0,has_more: false, and the data-currency note that absence is not evidence of compliance.All
filter_objectvalues must be JSON strings — the engine answers a 500 "server error querying the dataset" for numeric values ({"value": 0}fails,{"value": "0"}works; confirmed live). Every filter value is string-coerced at serialization time.List tools request
limit + 1rows and reporthas_more, so a page of exactlylimitrows is never mistakable for a complete answer.
Install
Nothing to clone. Point your MCP client at it and npm fetches it on first run:
{
"mcpServers": {
"wagewatch": {
"command": "npx",
"args": ["-y", "@haksanlulz/mcp-wagewatch"],
"env": { "DOL_API_KEY": "your-dol-key" }
}
}
}git clone https://github.com/haksanlulz/mcp-wagewatch
cd mcp-wagewatch
npm install
npm run build # emits dist/; the published bin is dist/index.jsnpm start runs the TypeScript directly via tsx without building.
API key
Register for a free DOL Open Data API key at https://dataportal.dol.gov/registration, then expose it as DOL_API_KEY:
export DOL_API_KEY=your-key-here # macOS / Linux
setx DOL_API_KEY your-key-here # Windows (new shells)Without the key the tools return an error naming the variable and the key-signup URL. The key is never logged.
Response shape
employer_violations with { "employer": "tyson", "state": "AR", "limit": 1 } returns this shape. Values are illustrative (test-fixture data, not a live capture — see the caveats below):
{
"query": { "employer": "tyson", "state": "AR", "found_after": null, "found_before": null },
"count": 1,
"has_more": false,
"cases": [
{
"case_id": "1234567",
"employer": "TYSON FOODS INC",
"legal_name": "TYSON FOODS INCORPORATED",
"location": { "street": "2200 DON TYSON PKWY", "city": "SPRINGDALE", "state": "AR", "zip": "72762" },
"naics_code": "311615",
"naics_description": "Poultry Processing",
"findings_start_date": "2021-01-01",
"findings_end_date": "2022-01-01",
"back_wages": 150000.5,
"civil_penalties": 7500,
"employees_affected": 88,
"violations": 12
}
],
"data_currency": {
"newest_findings_end_date": "2022-01-01",
"note": "WHD publishes concluded investigations on a lag. These are historical enforcement records, not an employer's present compliance state, and an empty result means no concluded published case was found — not that none exists."
}
}data_currency is attached to every response and is computed from the rows actually returned, never from the clock: an answer is exactly as current as its newest record. When a result set carries no dates, newest_findings_end_date is null rather than absent.
Then pass a case_id to case_detail for the per-statute breakdown.
Verification state
Everything has been run live against the real API with a real key (npm run smoke, 6/6, 2026-08-23), and three contract facts were only discoverable live: the key is accepted only as a query parameter (the X-API-KEY header form answers 401), a zero-match filter answers HTTP 204 with an empty body, and numeric filter_object values 500 (strings work). All three are handled and regression-tested. Column names were confirmed against live rows; the normalizer stays defensive regardless (unknown-shaped values coerce to null, and the CMP total scans every *_cmp_assd_amt column present).
Develop
npm test # vitest, fetch mocked with the documented response shapes (no key needed)
npm run smoke # one live call per tool (needs DOL_API_KEY; skips cleanly without)
npm run typecheckAI assistance
This project was built with AI assistance (Claude). Correctness was established by the mocked vitest suite (a real MCP client/server pair over an in-memory transport, fetch stubbed with the real response shapes), npm run typecheck, and live runs of every tool against the real DOL API with a real key — which is where the query-param auth, 204-empty, and string-only-filter contract facts came from. The author reviewed the code and is accountable for it.
License
MIT. See LICENSE. Public U.S. government data from the U.S. Department of Labor. Unofficial, not affiliated with DOL.
Maintenance
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