A
licenseNot graded
qualityD
maintenanceModel Context Protocol server that standardizes tool discovery, execution, and context management for AI applications.
MIT
@verlon-ai/mcp
Officialby verlon-ai
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TDQS
A4.4/5.0
Scored across 5 tools
Disambiguation5/5
Each tool targets a distinct resource (gate config, recommendations, experiments, gates list, logs) with no functional overlap, making selection unambiguous.
Naming Consistency5/5
All tools follow a consistent verb_noun pattern (get_ for single items, list_ for collections), with no naming irregularities.
Tool Count5/5
5 tools cover the core read-only operations for an AI platform monitoring server without being too few or excessive.
Completeness4/5
The set covers key read operations (gate config, recommendations, experiments, gates, logs), but lacks details on individual experiments or log entries beyond listing.
Maintenance
ActivityMaintained
ResponsivenessNo issues