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org-spec
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    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      A Model Context Protocol server that gives AI agents bounded, auditable access to propose changes to an Obsidian vault stored in GitHub, with per-agent expiring tokens, read/write/deny path policies, mutability rules, frontmatter checks, and human-reviewed proposal branches.
      9 npm
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      Apache 2.0
    • F
      license
      Not graded
      quality
      B
      maintenance
      MCP server for Agent Context OS that compiles engineering docs into a knowledge graph, detects code drift, and serves token-budgeted context packs to AI coding agents via MCP.
      -
    • A
      license
      Not graded
      quality
      A
      maintenance
      MCP server that helps coding agents research and prepare GitHub contributions by gathering repository guidance, related work, code context, and validation evidence into a local SQLite corpus, without ever writing to GitHub.
      384 npm
      3
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      MCP server that aggregates documentation and code context across GitHub repositories, auto-generates a system map from Backstage catalog files, and provides search capabilities for docs, code, issues, and API schemas to AI agents.
      8 npm
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    TDQS

    A3.9/5.0

    Scored across 4 tools

    Disambiguation3/5

    get_context(path) and fetch both read a single context file, so a model could be unsure which to use; get_context's no-argument entry-point behavior and fetch's 'file id from search' purpose do differentiate them somewhat. search and propose_context_change are clearly distinct.

    Naming Consistency3/5

    get_context and propose_context_change follow a verb_noun pattern, while search and fetch are bare verbs, producing a mixed but readable convention. The names are not chaotic, but they do not form a fully predictable pattern.

    Tool Count5/5

    Four tools is a well-scoped set for an organizational context repository: an entry point, a search mechanism, an exact file reader, and a change proposal action. None feel gratuitous, and the count is comfortably within the ideal range.

    Completeness4/5

    The surface covers the core workflow: start from context, search/fetch existing files, and propose coherent changes. There is no direct create/update/delete tool outside propose_context_change, but that appears intentional for a human-reviewed context repo, so the gap is minor.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues