A
licenseB
qualityC
maintenanceA local MCP server that gives AI agents structured task planning, execution tracking, and guided research workflows.
16
6 npm
MIT
vynn-mcp
by beee003
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TDQS
B3.3/5.0
Scored across 21 tools
Disambiguation4/5
Most tools target distinct actions or resources (e.g., create_workflow vs list_workflows, backtest vs batch_backtest). Minor overlap between optimize_prompt (generates variants) and apply_prompt_optimization (applies a prompt) but descriptions clarify the difference.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern in snake_case (e.g., create_workflow, set_schedule, list_triggers). No mixed conventions or irregular names.
Tool Count3/5
21 tools is above the typical well-scoped range (3-15). While each tool has a clear purpose, the number feels slightly heavy for a single server, especially covering both workflow management and trading optimization.
Completeness3/5
Workflow management lacks delete_workflow and update_workflow, leaving gaps in lifecycle coverage. Trading tools cover backtesting and optimization but are limited compared to a full trading platform. The set is functional but not fully comprehensive.
Maintenance
ActivityInactive
ResponsivenessUnresponsive