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Alternatives to arc-world-engine-mcp

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    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables an AI assistant to build and revise an explicit shared world model, then reason, create, narrate, remember, and give writing feedback through inspectable processes, concepts, and cuts. Supports general-purpose modeling, storytelling, agent/user memory, and ideation over one engine and graph while keeping estimates, interpretations, and observations distinct.
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables LLMs to interact with the Blocksworld Simulation to perform block manipulation actions, query real-time state, and verify multi-step plans. It bridges the Model Context Protocol with the simulation's REST API for AI planning research and agent development.
      MIT
    • F
      license
      Not graded
      quality
      B
      maintenance
      Provides tools to inspect, edit, run, replay, compare, and provide feedback on physics-based marble simulations, returning structured results and PNG captures.
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables any agent framework to connect and interact with a persistent, rules-based world service, while providing a built-in WebUI for human players and owner management.
      AGPL 3.0
    • A
      license
      Not graded
      quality
      Not graded
      maintenance
      Enables AI agents to interact with and control Roblox Studio instances in real-time through the Model Context Protocol. It provides a unified tool for building, scripting, and manipulating 3D worlds with over 90 operations including instance management and Luau scripting.
      14 npm
      -
    • A
      license
      B
      quality
      C
      maintenance
      Enables a bot to inspect, query, create, edit, and script Roblox Studio instances in token-cheap batches, plus run Luau, playtests, screenshots, and inputs through Roblox's official Studio MCP connection. It runs locally over stdio or an authenticated local HTTP endpoint, returning small structured answers instead of dumping whole games into context.
      8
      MIT

    TDQS

    B3.2/5.0

    Scored across 18 tools

    Disambiguation4/5

    Most tools have clear, distinct purposes, such as creating/updating/removing actors, adding effects by trigger type, and managing snapshots. The only minor overlap is between the general add_rule and the specific add_*_effect tools, but descriptions clarify their scopes.

    Naming Consistency4/5

    Tool names mostly follow a consistent verb_noun snake_case pattern (create_actor, update_actor, remove_actor, add_rule). Minor deviations include merge_actors using plural while other actor operations are singular, and rollback lacking a noun object.

    Tool Count4/5

    18 tools is on the higher side but each addresses a distinct aspect of the world engine: world setup, actor management, simulation, effects, and state inspection. No tool seems redundant, and the count is appropriate for the complex domain.

    Completeness5/5

    The tool surface covers the full lifecycle of world management: creating worlds, loading static maps, actor CRUD, simulation, rule/effect binding, observation comparison, and snapshot rollback. There are no obvious gaps that would prevent an agent from completing common tasks.

    Maintenance

    ActivityStale
    ResponsivenessNo issues