h1b-sponsor-mcp
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Related Servers
- AlicenseNot gradedqualityDmaintenanceEnables searching and analyzing H-1B visa sponsoring companies using U.S. Department of Labor data. Supports filtering by job role, location, and salary with natural language queries to find direct employers and export results.17MIT
- AlicenseNot gradedqualityDmaintenanceEnables searching and analyzing real H-1B visa sponsorship data from the U.S. Department of Labor, including job titles, salaries, locations, and company statistics.MIT
- AlicenseNot gradedqualityBmaintenanceProvides US H-1B visa sponsorship, LCA wages, and top sponsors by role for recruiting and talent data.202 npmMIT
- FlicenseNot gradedqualityDmaintenanceAn MCP server that enables users to query H1B visa sponsorship data, approval rates, and top roles using public Department of Labor records. It provides tools for looking up company-specific stats and filtering sponsors by job title, city, or state.-
- AlicenseAqualityCmaintenanceEnables querying USCIS H-1B employer sponsorship history, ranking top sponsors by US state, and retrieving dataset summary.2MIT
- AlicenseNot gradedqualityDmaintenanceRead-only MCP server for querying H-1B sponsoring employers from the USCIS dataset, providing tools to search employers, get year-by-year approvals, top sponsors, and trends across FY2009-2026.2MIT
TDQS
Scored across 6 tools
Each tool has a clearly distinct purpose: metadata, single-company sponsorship, multi-company comparison, sponsor rankings, salary ranges, and employer-name resolution. Although compare_companies overlaps conceptually with calling company_sponsorship multiple times, the boundary is explicit and unlikely to cause misselection.
All names use snake_case and are readable, but they mix verb-led names (compare_companies, find_employer) with noun-phrase names (data_info, company_sponsorship, salary_range) and an adjective-led name (top_sponsors). The naming is understandable but not a predictable verb_noun pattern.
Six tools is a well-scoped set for H-1B sponsor research, with no obviously redundant tools. Each tool covers a meaningful operation without bloating the surface.
The set covers company sponsorship, comparisons, rankings, salary ranges, metadata, and employer-name resolution, which is strong lifecycle coverage for a read-only data lookup server. Minor gaps remain around raw filing-level detail or broader employer search beyond prefix-based entity resolution, but core workflows are covered.