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Related Servers

Alternatives to Kilo-Kit

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Provides 300+ MCP tools for orchestrating AI agents — including swarm coordination, self-learning memory, and task management — enabling MCP clients like Claude Code and Cursor to spawn, coordinate, and learn from specialist agents across sessions.
      18,049 npm
      1
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI coding agents to perform surgical code analysis, semantic memory, and quality enforcement via 18 specialized MCP tools, with a real-time analytics dashboard.
      67
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to operate through a local, signed boundary that blocks prompt injection and secret leakage, verifies outputs, preserves cross-session memory, and provides offline-verifiable receipts. It also exposes 900+ MCP tools for discoverable agent actions.
      7
      MIT

    TDQS

    B3.4/5.0

    Scored across 24 tools

    Disambiguation3/5

    Several tools have overlapping meta-level purposes, especially kilo_orchestrate_task, kilo_route_intent, kilo_search_skills, and kilo_get_skill, which could cause misselection. The descriptions provide useful distinctions, but boundaries between workflow routing, skill discovery, and skill loading remain blurry.

    Naming Consistency5/5

    All tools follow a consistent snake_case pattern with the same kilo_ prefix. The naming convention is predictable and easy to scan.

    Tool Count3/5

    At 24 tools, the set is heavy for the server's apparent scope, sitting in the borderline range where each tool does not clearly earn its place. The domain is broad, but consolidation could reduce redundancy.

    Completeness4/5

    The surface covers skill discovery, loading, validation, synthesis, memory, routing, file operations, command execution, and several reasoning workflows. Minor gaps exist, such as no explicit skill deletion/update or memory fact deletion, but core workflows are well represented.

    Maintenance

    ActivityMaintained
    ResponsivenessResponsive