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Related Servers

Alternatives to world-model-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      Provides AI coding agents with pre-edit situational awareness by combining structural call graphs and co-change history to prevent incomplete edits. It surfaces files that historically change together, reducing missed coupled modules.
      3
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables coding agents to query a local, versioned knowledge graph of a software project, retrieving overviews, context packs, evidence, and explanations to make informed changes.
      MIT
    • F
      license
      B
      quality
      B
      maintenance
      Turns local code repositories into a queryable dependency graph built from AST parsing and git co-edit history, then exposes it alongside an Obsidian vault as persistent memory. Enables context retrieval, impact analysis of proposed changes, and curation of durable prose knowledge through full-text search and Personalized PageRank classification—all fully offline without API keys or embeddings.
      30
      -
    • A
      license
      Not graded
      quality
      A
      maintenance
      A temporal knowledge graph system that enables users to record and query architectural decisions, implementation patterns, and project failures. It integrates with Claude to provide hybrid search, timeline tracking, and automated knowledge gap detection using graph analysis.
      4
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Anchors a codebase's engineering context — file cards, rules, modules and decisions — in a small git-committed graph, and injects the applicable slice before each edit while refusing changes to files the agent hasn't actually understood. It also records the why behind each constrained edit so later sessions and teammates start from that understanding instead of rediscovering it.
      204 npm
      MIT

    TDQS

    C2.9/5.0

    Scored across 31 tools

    Disambiguation2/5

    Several tools have poorly separated boundaries: validate_change, simulate_change, predict_regression, and predict_test_failures all appear to assess the impact of a proposed change, differing mainly in subtle emphasis. Similarly, query_fact, search_global, and get_context_for_action overlap heavily in fact retrieval, and record_correction, record_decision, and pin_annotation all capture human feedback. An agent would frequently struggle to select the right tool without reading every description.

    Naming Consistency5/5

    Every tool follows a consistent snake_case verb_noun pattern, e.g., get_constraints, record_event, predict_regression, prove_entry_inclusion. Even the more unusual names like pin_annotation and seed_project fit the same imperative structure. This is a highly predictable and uniform naming convention.

    Tool Count2/5

    31 tools is well beyond the 25+ threshold for a single server and will overwhelm tool selection, especially given the many overlapping prediction and retrieval tools. The server would be more coherent with roughly half the current surface area, consolidating related reads and writes into broader commands.

    Completeness4/5

    The domain is broadly covered: it supports knowledge-graph population and queries, event and decision recording, constraint ingestion and validation, regression prediction, audit-log integrity, compaction auditing, and context export. Minor gaps exist, such as no explicit fact/constraint update or delete lifecycle and no project listing tool, but the core workflows are well supported.

    Maintenance

    ActivityMaintained
    ResponsivenessResponsive