Solutif Genesys Cloud MCP Server
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- AlicenseAqualityDmaintenanceEnables querying and analyzing Genesys Cloud data such as queues, conversations, voice call quality, sentiment, topics, transcripts, and OAuth client usage through natural language.10133 npmMIT
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- FlicenseNot gradedqualityCmaintenanceA read-only MCP server that exposes Genesys Cloud queue lookup, analytics aggregates, and conversation search tools, enabling natural language queries for contact center metrics.1-
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TDQS
Scored across 10 tools
Most tools have clearly distinct outputs: transcript, sentiment scores, topics, voice quality, queue volumes, and OAuth usage are separable. A minor overlap exists between conversation_transcript (which can include sentiment annotations) and conversation_sentiment, and between the two conversation-ID discovery tools, but descriptions are enough to resolve this.
The set mixes verb-led names like search_queues and query_queue_volumes with noun-phrase names like conversation_transcript, voice_call_quality, and oauth_clients. The naming is readable and mostly snake_case, but the absent verb pattern prevents strong consistency.
Ten tools is a well-scoped size for a Genesys Cloud server covering conversation analytics, queue interrogation, and OAuth auditing. Each tool has a distinct responsibility and none feel redundant.
Conversation-centric workflows are well covered: discovery, sampling, transcript, sentiment, topics, and call quality are all present. Minor gaps like the lack of non-voice conversation search and OAuth client management actions prevent a perfect score.