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Alternatives to repowise

Related Servers

  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables AI agents to search code by meaning, explore codebase structure, store and query knowledge with temporal facts, and read source code through a set of MCP tools.
    267 npm
    7
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Provides code intelligence for AI coding agents by indexing repositories into a hybrid knowledge graph, enabling agents to query dependencies, impact, and context through 28 MCP tools.
    3
    Apache 2.0
  • A
    license
    Not graded
    quality
    A
    maintenance
    Provides AI agents with a function-level dependency graph of the codebase through 30 MCP tools, enabling structural queries about code dependencies, callers, and impact analysis.
    1,555 npm
    95
    Apache 2.0
  • A
    license
    Not graded
    quality
    D
    maintenance
    Persistent codebase knowledge layer for AI agents. Pre-digests codebases into structured knowledge (symbols, dependency graphs, co-change patterns, architectural decisions) and serves via MCP. 28 languages, 14 tools, ~85% token reduction.
    12 npm
    8
    MIT

TDQS

A4.6/5.0

Scored across 10 tools

Disambiguation5/5

Each tool targets a distinct analytical concern: health scores, change risk, context triage, decision rationale, question answering, dead code, overview, history risk, symbol bodies, and raw search. Where overlap exists (get_answer vs get_why vs search_codebase, get_health vs get_risk), the descriptions explicitly carve out boundaries and direct callers to the right tool.

Naming Consistency4/5

Nine of ten tools follow a consistent get_<subject> pattern, making the set predictable and easy to navigate. search_codebase breaks the pattern slightly, though it is still readable and uses a clear verb-object structure.

Tool Count5/5

Ten tools is well-scoped for a code intelligence and health analysis server. Each tool covers a distinct capability with no obvious redundancy, and the count is squarely in the comfortable range for an MCP server.

Completeness5/5

The surface covers the full read-only exploration lifecycle: orient with get_overview, search with search_codebase, answer questions with get_answer, drill into context/symbols, assess health/risk/dead code, and understand rationale with get_why. There are no obvious dead ends, and the tools are designed to chain together coherently.

Maintenance

ActivityActive
ResponsivenessResponsive