A
licenseA
qualityA
maintenanceEnables AI coding agents to orchestrate the full software development lifecycle on GitHub, including planning, issue creation, code review, security triage, and release readiness checks.
13
31
1
MIT
NSTOK AI Software Factory MCP Server
Officialby nstok-id
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TDQS
C2.9/5.0
Scored across 29 tools
Disambiguation3/5
Several tools have overlapping purposes: search_knowledge, find_features, find_ui_components, find_db_entities, find_existing_patterns, and search_repo_code all perform search-like operations. Similarly, create_app_plan and create_feature_plan both generate plans. However, descriptions provide some distinction through specific resource types and workflows.
Naming Consistency4/5
Most tools follow a verb_noun pattern (e.g., search_knowledge, find_features, create_app_plan, clone_app_template). Minor deviations like get_project_context and run_tests are still readable and consistent with the pattern. Overall naming is predictable and consistent.
Tool Count2/5
With 29 tools, the set is heavy and may overwhelm an agent. The high count is somewhat justified by the complex domain of software generation and knowledge management, but several tools appear redundant (e.g., multiple find_ tools, multiple create_plan tools), suggesting over-scoping.
Completeness4/5
The surface covers search, planning, creation, file operations, git workflow, validation, testing, and knowledge updating, which is comprehensive for a software factory. Minor gaps might include direct code editing tools or more granular git operations (e.g., merge, delete branch), but core workflows appear covered.
Maintenance
ActivityMaintained
ResponsivenessNo issues