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    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      An AI-native specification framework that enables deep requirements analysis and structured project planning through intelligent Q\&A workflows. The MCP server provides tools for project initialization, requirement analysis, and the generation of living documentation like development plans and architecture specs.
      4 npm
      Apache 2.0
    • A
      license
      A
      quality
      D
      maintenance
      MCP server that integrates GitHub Spec-Kit with AI coding agents to manage Spec-Driven Development workflows, including specification authoring, planning, task generation, and consistency analysis.
      13
      1
      MIT
    • F
      license
      A
      quality
      D
      maintenance
      An MCP server that automates the full software development lifecycle through an AI-driven TDD state machine. It handles everything from task decomposition and test-driven development to integration testing and automated pull request creation.
      4
      -

    TDQS

    A3.5/5.0

    Scored across 58 tools

    Disambiguation2/5

    Several tool pairs have unclear boundaries: sdd_write_spec vs sdd_turnkey_spec, sdd_generate_dockerfile vs sdd_setup_local_env, sdd_generate_docs vs sdd_generate_all_docs, and sdd_import_document vs sdd_batch_import all appear to produce overlapping artifacts. While descriptions add nuance, an agent would frequently need to read deeply to choose correctly, and mis-selection risk is high across the 58 tools.

    Naming Consistency4/5

    All tool names share the sdd_ prefix and almost all follow snake_case verb_noun structure, making the surface feel predictable. A few names deviate (sdd_metrics, sdd_model_routing, sdd_turnkey_spec, sdd_context_status) and the verbs write/generate/setup are used somewhat interchangeably, so it is not a perfect 5.

    Tool Count2/5

    At 58 tools, this is far beyond the 15-tool well-scoped range and even beyond the 25-tool heavy threshold. Many tools could be consolidated (all the generate_docs variants, the docker/devcontainer generators, and the batch import variants), so the count feels bloated rather than purposeful.

    Completeness5/5

    The tool surface covers the entire SDD lifecycle: discovery, specification, design, tasks, analysis, verification, diagrams, documentation, test generation, environment setup, and export integrations. It also includes backup/restore, RBAC, audit verification, and metrics, so there are no obvious dead ends for the stated purpose.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues