A
licenseA
qualityA
maintenanceAn extensible MCP server that provides intelligent Python code analysis, navigation, and understanding capabilities for AI assistants like Claude.
25
MIT
insight-blueprint
by etoyama
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TDQS
B3.4/5.0
Scored across 18 tools
Disambiguation3/5
Most tools have clear single purposes (get vs list, create vs update), but there is overlap between transition_design_status and save_review_comment/save_review_batch, which also transition status. The suggestion tools (suggest_cautions vs suggest_knowledge_for_design) are distinct in inputs but may be confused in intent.
Naming Consistency5/5
All tool names follow a predictable verb_noun pattern with snake_case (get_*), (create_*), (update_*), (save_*), etc. The convention is uniform and makes it easy to infer functionality.
Tool Count4/5
18 tools is on the higher end but appropriate given the server covers analysis design lifecycle, catalog management, review workflows, and knowledge extraction. Each tool serves a distinct functional area, so the count feels justified rather than bloated.
Completeness3/5
Core workflows for design creation, review, and knowledge extraction are well covered. However, there are no delete operations (e.g., delete_analysis_design, delete_catalog_entry) and no direct way to add domain knowledge manually. These gaps may require workarounds in agent workflows.
Maintenance
ActivitySlowing
ResponsivenessResponsive