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Query the WGEA in plain English — employer pay gap, workforce composition, leave.
Query the WGEA in plain English — employer pay gap, workforce composition, leave.
wgea-mcp is a well-structured MCP server for accessing Australian Workplace Gender Equality Agency public data. The codebase demonstrates solid security practices with proper input validation, safe data handling, and appropriate permission scoping for its purpose. Minor code quality observations around exception handling breadth and logging do not materially impact security. Supply chain analysis found 5 known vulnerabilities in dependencies (1 critical, 3 high severity). Package verification found 1 issue.
3 files analyzed · 9 issues found
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Add this to your MCP configuration file:
{
"mcpServers": {
"io-ausdata-wgea-mcp": {
"args": [
"wgea-mcp"
],
"command": "uvx"
}
}
}From the project's GitHub README.
mcp-name: io.ausdata/wgea-mcp
MCP server for the Workplace Gender Equality Agency (WGEA) public data file. Plain-English access to per-employer workforce composition, gender-equality policy answers, parental leave, flexible work, and harm-prevention data — every WGEA-reporting employer in Australia (~9,600 employers), every year, from a single uvx command.
Hosted access? For cross-source queries, webhooks, an always-on REST API, and a uniform response envelope across all 9 sources, see ausdata.io — free tier available (500 calls/mo, no card).
"What's the gender breakdown at Commonwealth Bank?"
"Which mining companies set gender targets in 2024-25?"
"Workforce composition by occupation at Qantas"
"Sexual harassment policy responses across financial services"
"Promotions to manager by gender at Atlassian"
Sister to abs-mcp, rba-mcp, ato-mcp, apra-mcp, aihw-mcp, asic-mcp, and au-weather-mcp.
uvx --upgrade wgea-mcp
{
"mcpServers": {
"wgea": { "command": "uvx", "args": ["--upgrade", "wgea-mcp"] }
}
}
claude mcp add wgea --command uvx --args -- --upgrade wgea-mcp
Six tools, all plain-English in, structured out:
| Tool | Purpose |
|---|---|
search_datasets | Fuzzy-search the curated catalog by keyword |
describe_dataset | List a dataset's filterable dimensions and returnable measures |
get_data | Query with filters, period range, output format |
latest | Restrict to the latest reporting year. Row cap parameter is limit (portfolio-standard); max_rows retained as legacy alias. |
top_n | Rank rows by a numeric measure (e.g. n_employees) and return the top (or bottom) N for one reporting year. |
list_curated | Enumerate the curated dataset IDs |
Every response is the same shape — dataset_id, dataset_name, query, reporting_year, unit, row_count, records, source_url, download_url, did_you_mean, attribution, stale flag, server_version.
| ID | What it is | Source |
|---|---|---|
HEADLINE_GAP | Industry gender pay gap mid-points by ANZSIC division + national rollup | EGPG xlsx on wgea.gov.au (aggregated server-side) |
WORKFORCE_COMPOSITION | Per-employer headcount by occupation × manager category × gender | wgea_workforce_composition_<year>.csv |
WORKFORCE_MANAGEMENT | Manager movements (promotions, hires, resignations) by gender | wgea_workforce_management_statistics_<year>.csv |
GENDER_EQUALITY_ACTIONS | Pay-gap analyses, gender targets, governance — Q&A responses | wgea_questionnaire_action_on_gender_equality_<year>.csv |
PARENTAL_LEAVE_FLEX | Parental leave + flexible-work policy responses | wgea_questionnaire_flexible_work_<year>.csv |
HARM_PREVENTION | Sexual harassment + domestic-violence policy responses | wgea_questionnaire_harm_prevention_<year>.csv |
EMPLOYEE_SUPPORT | Carer leave, EAP, mental-health programs | wgea_questionnaire_employee_support_<year>.csv |
WORKPLACE_OVERVIEW | Board composition, governing-body diversity, CEO + KMP demographics | wgea_questionnaire_workplace_overview_<year>.csv |
The headline gender pay-gap %.
HEADLINE_GAP(added in 0.6.0) carries the industry mid-points WGEA publishes annually in its Employer Gender Pay Gaps Report — e.g. Mining 18.9%, Financial and Insurance Services 21.4%, "All employers" national mid-point 11.2% (2024-25 reporting year). Numbers match WGEA's published Figure 4 to within rounding. For the workforce-weighted national aggregate (~21.1% private sector) WGEA states in its public materials, see the WGEA Data Explorer — that figure requires payroll data WGEA holds before public release and is not derivable from the published employer-level xlsx.
WGEA publishes the public data file annually under a single CKAN package on data.gov.au. Each annual release gets a fresh resource UUID:
package_show?id=wgea-dataset returns every resource; the newest "WGEA Data — Public Data File" wins. Cached 6h.data/seed_urls.json shipped in the wheel. The response is flagged stale: true with an honest reason.Net effect: a fresh uvx wgea-mcp always gets the current reporting year; a 12-month-old install still works because the seed manifest is refreshed and --upgrade pulls a new wheel.
Pass any abbreviation, alias, or substring and rapidfuzz resolves it:
| You type | Resolved to |
|---|---|
"CBA" | Commonwealth Bank of Australia |
"Commonwealth Bank" | Commonwealth Bank of Australia |
"NAB" | National Australia Bank Limited |
"Westpac" | Westpac Banking Corporation |
"Woolies" / "woolworths" | Woolworths Group Limited |
"Atlassian" | Atlassian Pty Ltd |
"qantas" | Qantas Airways Limited |
When nothing exact matches, did_you_mean carries the top-5 closest legal names so the agent can ask the user to pick.
Data sourced from the Workplace Gender Equality Agency. Licensed under Creative Commons Attribution 3.0 Australia (CC BY 3.0 AU). wgea-mcp is MIT-licensed; WGEA's data carries the upstream CC-BY 3.0 AU licence, echoed in every response's attribution field.
Per-employer reporting is a deliberate disclosure under the Workplace Gender Equality Act 2012 — redistribution is explicitly intended.
git clone https://github.com/Bigred97/wgea-mcp.git
cd wgea-mcp
uv venv
uv pip install -e ".[dev]"
pytest # unit tests
pytest -m live # integration tests against data.gov.au (downloads the ~71 MB ZIP)
Issues and contributions welcome: github.com/Bigred97/wgea-mcp/issues.
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