aircall-mcp
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TDQS
Scored across 21 tools
Each tool targets a distinct resource and action combination (ping, get_company, list/get users, teams, calls, numbers, contacts, tags, and separate AI analytics for calls). The AI-related tools (transcription, sentiments, topics, summary, action_items) are clearly differentiated by name and description, leaving no ambiguity about what each returns.
All tools follow a consistent 'aircall_<verb>_<resource>' pattern using lowercase snake_case. Verbs are limited to ping, get, list, and search, and nouns are uniformly singular or plural as appropriate. This is a model of consistent naming.
With 21 tools, the set is on the heavier side but still well-scoped for the Aircall domain. It covers company, users, teams, calls, AI features, numbers, contacts, and tags without feeling bloated. The count is appropriate for a comprehensive read-focused API wrapper.
The tool surface is almost entirely read-only: it provides list/get/search for all resources but lacks create, update, or delete operations for users, contacts, numbers, tags, or teams. This is a significant gap for a domain where management actions are expected, limiting the server to analytics and lookup use cases.