Skip to main content
Glama
Aditya31398

repo-atlas-mcp

by Aditya31398

Related Servers

Alternatives to repo-atlas-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to query and analyze code across multiple repositories through a unified knowledge graph, with tools for symbol search, impact analysis, and graph algorithms.
      31 npm
      MIT
    • F
      license
      Not graded
      quality
      C
      maintenance
      Transforms code repositories and development documentation into a queryable Neo4j knowledge graph, enabling AI assistants to perform intelligent code analysis, dependency mapping, impact assessment, and automated documentation generation across 15+ programming languages.
      7
      -
    • A
      license
      Not graded
      quality
      A
      maintenance
      Provides a dependency graph of any local repository with tools for change impact, transitive dependents, health audits, and more, enabling AI coding agents to see structure and refactor safely.
      4,912 npm
      4
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Provides coding agents with a Python repository's call graph and impact analysis, enabling them to see callers, callees, and affected tests before making changes.
      1
      MIT

    TDQS

    A3.5/5.0

    Scored across 10 tools

    Disambiguation3/5

    Tools like who_calls, impact_of, and hotspots all concern callers of a symbol, which could cause an agent to pick the wrong one. However, their descriptions clarify distinctions (nearest callers vs. full upstream impact vs. ranked by caller count), reducing ambiguity.

    Naming Consistency3/5

    Names are all snake_case and readable, but they mix verb_noun patterns (list_repos, index_repo, find_symbol) with question-style phrases (who_calls, what_it_calls) and noun phrases (hotspots, module_map, path_between). The inconsistency is noticeable but not chaotic.

    Tool Count5/5

    With 10 tools, the server is well-scoped for its purpose of code graph analysis and repository management. Each tool addresses a distinct need, and the count falls comfortably within the ideal range.

    Completeness4/5

    The tool surface covers repository lifecycle (list, index, drop) and key graph queries (find, callers, callees, impact, paths, hotspots). Minor gaps exist, such as lacking a dedicated 'get single repo' tool, but the coverage is sufficient for core workflows.

    Maintenance

    ActivityStale
    ResponsivenessNo issues