A
licenseNot graded
qualityB
maintenanceEnables AI agents to create When2Meet polls, read structured availability results, and find optimal meeting times through the Model Context Protocol.
MIT
when2meet-mcp
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TDQS
A3.9/5.0
Scored across 6 tools
Disambiguation4/5
Each tool targets a distinct phase: read poll, analyze group overlap, compute/fill from busy times, preview, and submit. The two busy-time tools are differentiated by weekly recurring vs one-off ISO inputs, but their names alone could still cause some confusion.
Naming Consistency4/5
Most tools follow a clear verb_noun snake_case pattern like get_poll, submit_availability, and preview_availability. The longer names fill_from_weekly_schedule and compute_availability_from_busy_times deviate by adding prepositional phrases, making the pattern slightly inconsistent.
Tool Count5/5
Six tools cover reading, analysis, two input modes, preview, and submission without redundancy or bloat. This is a well-scoped and focused set for a when2meet MCP server.
Completeness4/5
The set covers the main workflow: load a poll, find availability, compute personal availability, preview, and submit. Obvious gaps like creating a poll or explicitly clearing existing availability are absent, but they may be outside the intended URL-driven scope.
Maintenance
ActivityMaintained
ResponsivenessNo issues