A
licenseNot graded
qualityD
maintenanceModel Context Protocol server that standardizes tool discovery, execution, and context management for AI applications.
MIT
pycycle-mcp
by cmudrc
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TDQS
A3.5/5.0
Scored across 10 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: lifecycle management (create/close), configuration (set_inputs), execution (run_cycle, sweep_inputs), analysis (compute_totals, get_outputs), and introspection (get_cycle_summary, list_variables). No two tools overlap ambiguously.
Naming Consistency5/5
All tool names follow a consistent verb_noun snake_case pattern (e.g., create_cycle_model, run_cycle, compute_totals). The naming is predictable and uniform across the entire set.
Tool Count5/5
With 10 tools, the set is well-scoped for a cycle modeling server. Each tool covers a necessary operation without redundancy, fitting comfortably within the ideal 3-15 tool range.
Completeness5/5
The tool surface provides comprehensive lifecycle coverage: create, configure, run, analyze (including sweeps and derivatives), retrieve results, and close. No obvious dead ends or missing core operations for the domain.
Maintenance
ActivityActive
ResponsivenessNo issues