warn-mcp
Related Servers
Alternatives to warn-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables searching and retrieving WARN Act layoff and plant-closure notices from covered states, filtering by company, state, date, or size, and checking coverage and freshness.MIT
- AlicenseNot gradedqualityBmaintenanceProvides access to SEC EDGAR data through natural language, including company filings, financial statements, and company info, without requiring an API key.MIT
- AlicenseNot gradedqualityDmaintenanceEnables querying U.S. Treasury fiscal data including debt, interest rates, auctions, and more via natural language, with no API key required.MIT
- AlicenseAqualityCmaintenanceEnables users to query U.S. labor statistics, including employment, CPI, and wages, directly from the Bureau of Labor Statistics Public Data API. It provides tools to retrieve real-time economic time series data, browse popular series, and access survey metadata through natural language.61MIT
- AlicenseNot gradedqualityFmaintenanceProvides access to US Treasury Fiscal Data via a free, no-auth public API. Enables querying government financial data through natural language.2 npmMIT
- AlicenseNot gradedqualityCmaintenanceEnables querying SEC EDGAR public company filings and XBRL financial data, such as 10-K, 10-Q, 8-K, insider trading disclosures, and revenue trends, without authentication.10 npmMIT
TDQS
Scored across 6 tools
Each tool targets a distinct aspect of WARN data: dataset health, searching, recent feed, employer history, state stats, and revision diffs. No two tools overlap in purpose; even the search and latest feed are clearly differentiated by time scope.
Names are all lowercase with underscores, which is consistent. However, the pattern mixes verb-led names (search_layoff_notices) with noun-led names (employer_layoff_history); while not chaotic, it's not a uniform verb_noun convention across the board.
Six tools is well-scoped for a domain-specific WARN server. Each tool covers a natural query pattern (status, search, recent, employer, state, revisions) without unnecessary bloat or an anemic surface.
The set covers core workflows: searching, recent notices, employer lookups, state aggregation, and data quality checks. Minor gaps might include fetching a single notice by ID or filtering by industry, but the existing tools handle most real-world queries without dead ends.