F
licenseC
qualityC
maintenanceMCP server that transforms Voice of Customer data into actionable customer experience insights through structured analysis and synthesis.
14
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Feedback Synthesis MCP
by sapph1re
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TDQS
A4.5/5.0
Scored across 4 tools
Disambiguation5/5
Each tool has a clearly distinct purpose with minimal overlap: get_pain_points extracts pain points from a single source, get_sentiment_trends analyzes sentiment over time, search_feedback performs full-text searches on cached data, and synthesize_feedback synthesizes multiple sources into pain clusters. The descriptions explicitly differentiate them, such as noting get_pain_points is faster than synthesize_feedback for single sources, eliminating confusion.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern with snake_case: get_pain_points, get_sentiment_trends, search_feedback, and synthesize_feedback. This uniformity makes the set predictable and easy to understand, enhancing usability for agents without any deviations in style.
Tool Count5/5
With 4 tools, this server is well-scoped for feedback synthesis, covering key operations like extraction, analysis, search, and synthesis. Each tool serves a unique function, and the count is neither too sparse nor bloated, fitting typical MCP server ranges for a focused domain.
Completeness4/5
The toolset covers core feedback analysis workflows effectively, including single-source extraction, multi-source synthesis, sentiment tracking, and search. A minor gap exists in lacking explicit update or deletion tools for managing cached feedback, but agents can work around this, and the surface supports comprehensive analysis without dead ends.
Maintenance
ActivityMaintained
ResponsivenessUnresponsive