@pipeworx/careeronestop
Connect: https://pipeworx.io/mcp — every tool in the catalog, including @pipeworx/careeronestop’s. Install: one-click buttons
Connect to just the @pipeworx/careeronestop pack
https://gateway.pipeworx.io/careeronestop/mcp — only @pipeworx/careeronestop’s own tools, nothing else in the catalog.
No MCP client? Skip the connection: POST https://gateway.pipeworx.io/v1/tools/search_packs {"query":"..."} to find a tool below, GET /v1/tools/<name> for its schema, POST the same URL with arguments for the data — see For AI agents.
Tools: 3
Tools
- careeronestop_salary — What does
pay in — wage percentiles (10th/25th/median/75th/90th, hourly + annual) for a U.S. occupation from the Dept. of Labor CareerOneStop API. Accepts an O*NET/SOC title or - careeronestop_occupation — Occupation detail (tasks, outlook, typical education) for
from the Dept. of Labor CareerOneStop / O*NET data. Example: careeronestop_occupation({ occupation: “Registered Nurses”, _apiKey: - careeronestop_compare_salary — Compare salaries across occupations — side-by-side wage data for multiple U.S. occupations from the Dept. of Labor CareerOneStop API. Example: careeronestop_compare_salary({ occupations: “Registered N
Tools
careeronestop_compare_salary— Compare salaries across occupations — side-by-side wage data for multiple U.S. occupations from the Dept. of Labor CareerOneStop API. Example: careeronestop_compare_salary({ occupations: Registered Nucareeronestop_occupation— Occupation detail (tasks, outlook, typical education) for <occupation> from the Dept. of Labor CareerOneStop / O*NET data. Example: careeronestop_occupation({ occupation: Registered Nurses , _apiKey:careeronestop_salary— What does <occupation> pay in <location> — wage percentiles (10th/25th/median/75th/90th, hourly + annual) for a U.S. occupation from the Dept. of Labor CareerOneStop API. Accepts an O*NET/SOC title or