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Related Servers

Alternatives to flameox

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    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables coding agents to query a local, multi-repo code graph for symbol exploration, blast radius analysis, co-change mining, and durable code-anchored memory via MCP tools.
      1,008 npm
      14
      Business Source 1.1
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to store, search, assemble, and manage local-first memories through seven MCP tools, including conversation turns, feedback, status, and dashboard access without cloud dependencies.
      AGPL 3.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      Provides local codebase intelligence as an MCP server, enabling AI agents to query dependencies, assess change impact, and produce tamper-evident change evidence packets.
      513
      Apache 2.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to capture, search, and manage structured memory from agent sessions with append-only events and provenance tracking, providing eight local MCP stdio tools.
      Apache 2.0

    TDQS

    C2.9/5.0

    Scored across 111 tools

    Disambiguation4/5

    Most tools name an exact resource and action, making pairs like list_runs/get_run or plan_capture/execute_capture_plan easy to tell apart. However, the sheer number of get_*, list_*, extract_*, and analyze_* tools, plus near-neighbor pairs like compare_run_sets/compare_kernel_validation, introduces real selection risk.

    Naming Consistency4/5

    The dominant verb_noun snake_case convention is consistent across plan_*, extract_*, list_*, get_*, and analyze_* tools. Minor deviations such as workspace_status, workload_configuration_status, extract_memray behaving like a start operation, and get_native_viewer_plan keep it from a perfect score.

    Tool Count1/5

    111 tools is an extreme surface for any MCP server, far beyond a focused, well-scoped toolset. Even if each tool serves a distinct profiling sub-domain, an agent would have to navigate an overwhelming and impractical number of choices.

    Completeness4/5

    The toolkit covers an impressively broad lifecycle: workspace setup, workload configuration, planning, execution, extraction, analysis, artifact pipelines, inference, experiments, fault injection, comparisons, hypotheses, and findings. Minor gaps exist around generic resource removal/update operations, but the domain is largely immutable by design and workflows generally have no dead ends.

    Maintenance

    ActivityActive
    ResponsivenessResponsive