F
licenseNot graded
qualityD
maintenanceProvides deterministic Python code quality analysis using flake8, mypy, McCabe, and vulture, enabling LLMs to access real linting and type checking results.
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MCP Pyrefly
by kimasplund
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TDQS
C2.9/5.0
Scored across 9 tools
Disambiguation3/5
The tools have some clear distinctions (e.g., check_code vs. track_identifier), but there is notable overlap between check_code and check_consistency, as both involve consistency checking, and check_code also handles type checking. Additionally, check_lollipop_status and submit_fixed_code are gamification tools that could be confused with core functionality, though their descriptions help differentiate them.
Naming Consistency4/5
Most tools follow a consistent verb_noun pattern (e.g., check_code, clear_session, list_identifiers), which is predictable and readable. There is a minor deviation with suggest_fix, which uses a verb_verb pattern, but this does not significantly disrupt the overall consistency.
Tool Count5/5
With 9 tools, the count is well-scoped for a Python code analysis and gamification server. Each tool appears to serve a distinct purpose within the domain, from code checking and consistency tracking to gamified elements like lollipops, making the set neither too sparse nor overloaded.
Completeness4/5
The tool set covers core aspects of Python code analysis, including error checking, consistency tracking, and session management, with gamification elements for engagement. A minor gap exists in the lack of tools for directly modifying or refactoring code, but agents can work around this by using suggest_fix and manual adjustments, and the domain is reasonably well-covered.
Maintenance
ActivityInactive
ResponsivenessNo issues