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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
WARN_MCP_TTLNoCache refresh interval in seconds (default behavior: at most one request per file per hour)3600
WARN_MCP_CACHENoOverride the cache directory (default: ~/.cache/warn-mcp)~/.cache/warn-mcp

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}

Tools

Functions exposed to the LLM to take actions

NameDescription
search_layoff_noticesA

Search US WARN Act mass-layoff notices across 48 states, 1988 to today, by employer name, state, date range and minimum headcount. Returns matched notice count, total workers affected, and the newest matching notices. Pass a state to make the search much faster.

latest_layoff_noticesA

The rolling feed of newly published WARN notices (the last ~14 days as the agencies posted them), newest first, optionally one state. Use this for 'what layoffs were announced recently'.

employer_layoff_historyA

Every WARN notice one employer has filed, in any covered state, back to 1988: notice count, total workers affected, states, first and latest activity, plus the individual notices for the best-matching employer.

state_layoff_totalsA

Monthly WARN notice counts and workers affected. With no state, returns a national leaderboard by state; with a state, the month-by-month series for it. Optionally restrict to one year.

agency_revisionsB

What the state agencies quietly CHANGED: a field-level diff of consecutive daily snapshots — corrected headcounts, moved dates, and notices the agency stopped publishing altogether. This history does not exist in any single-snapshot copy of the data.

dataset_statusA

Freshness and coverage of the dataset itself: when it was last rebuilt, which states are flagged stale, the license, and the raw endpoints. Call this before quoting a number so you can attribute it correctly.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4/5.0

Scored across 6 tools

Disambiguation5/5

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.

Naming Consistency4/5

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.

Tool Count5/5

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.

Completeness4/5

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.

Maintenance

ActivityMaintained
ResponsivenessNo issues