Skip to main content
Glama

Related Servers

Alternatives to topos-mcp

  • A
    license
    Not graded
    quality
    D
    maintenance
    Provides comprehensive code analysis through three MCP servers: static analysis for code quality and security, dependency analysis for package management and vulnerabilities, and complexity analysis for maintainability assessment across multiple programming languages.
    1
    MIT
  • F
    license
    Not graded
    quality
    D
    maintenance
    Provides deterministic Python code quality analysis using flake8, mypy, McCabe, and vulture, enabling LLMs to access real linting and type checking results.
    1
    -

Related Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    Live codebase intelligence for AI agents. Import graph PageRank for file importance, git forensics for co-change coupling and fragile code, convention detection across 16 domains, and blast radius analysis.
    49 npm
    3
    Business Source 1.1
  • A
    license
    B
    quality
    C
    maintenance
    Whole-repo code graph for AI agents: impact analysis, dead code, cycles, semantic code search — 14 tools via hosted MCP endpoint.
    15
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables coding agents to run deterministic completeness audits on code before declaring 'done'—catching unwired modules, placebo tests, swallowed errors, and stubs via AST analysis, entirely offline and free.
    MIT

TDQS

A4.1/5.0

Scored across 17 tools

Disambiguation4/5

There is apparent overlap among the evaluate family (evaluate_file/evaluate_project/evaluate_code/inspect_code) and the assess family (assess_worktree_change/assess_changeset/assess_improvement/assess_snapshot), but the descriptions explicitly delineate each by input type, baseline source, and intended loop, making selection reasonably clear. A few boundaries (inspect_code vs evaluate_file, compare_code vs compare_files) require careful reading but are documented.

Naming Consistency4/5

Nearly all tools use a consistent topos_ + verb_noun pattern (evaluate_file, assess_changeset, begin_refactor, calculate_coverage, compare_code, generate_depgraph, get_doc, inspect_code). Minor deviations exist in noun-noun or bare-verb forms (depgraph_status, preference_walk, refactor), but the set remains predictable.

Tool Count4/5

17 tools is on the heavier side but each maps to a distinct operation across evaluation, assessment, comparison, refactor advisory, dependency-graph management, and docs. The count is justified by the breadth of the quality/refactor domain rather than redundant surface.

Completeness4/5

The surface covers scoring (file/code/project), baseline assessment (git worktree, changeset, snapshot, proposed variant), comparison, refactor hotspot ranking, dependency-graph lifecycle, coverage, and documentation. Gaps are minor—no automated apply-fix or bulk multi-file evaluation beyond changeset, but core lifecycle is well covered.

Maintenance

ActivityActive
ResponsivenessWithin a week