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Alternatives to PhySpace-Forge

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    Related Servers

    • A
      license
      Not graded
      quality
      Not graded
      maintenance
      Exposes a zero-dependency MCP server that ingests depth-sensor, joint-encoder, and tactile-array telemetry to deliver real-time spatial intelligence, trajectory generation, and safety-guarded control vectors for autonomous robots. It tracks shear-to-normal force ratios, detects micro-vibration slip onset, and adapts grasp force dynamically so agents can prevent object slip during manipulation.
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Exposes MuJoCo physics simulation to AI assistants via 65 MCP tools, enabling natural language control of robotics simulation, trajectory optimization, contact analysis, and video export.
      9
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables real-time spatial intelligence, trajectory generation, and tactile control for autonomous robotic systems via MCP, including Coulomb friction cone checking, contact normal alignment, and grasp wrench quality evaluation.
      7
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables an LLM to design parametric 3D parts in pure NumPy and verify they are actually printable before exporting them. Provides topology checks (watertightness, genus, shell count, wall thickness), self-rendered views, and gated STL/OBJ export that refuses broken solids.
      7
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables conversational creation and editing of STEP CAD models through MCP clients like Codex, Claude, or Cursor, with real-time 3D browser preview and tools for primitives, booleans, mounting holes, flanges, and gripper bases.
      1
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Provides a local offline physics/chemistry simulation bench covering 12 domains, where plain-language intents are converted into simulation blueprints, solved with deterministic proof metrics, and exported to STL/OBJ — no cloud, API key, or LLM required.
      4
      77 npm
      1
      Apache 2.0

    TDQS

    A3.5/5.0

    Scored across 5 tools

    Disambiguation4/5

    Each tool has a distinct primary action: inspect queries parameters, simulate runs a full trajectory check, compile exports assets, generate synthesizes scenes, and step performs a real-time shield update. The main potential confusion is between simulate_grasp_trajectory and step_realtime_safety_shield, since both verify grasp safety, but their descriptions clearly separate offline simulation from single-step real-time filtering.

    Naming Consistency5/5

    All tools share the physpace_ prefix followed by a consistent verb_noun pattern: inspect_object, simulate_trajectory, compile_asset, generate_scene, step_shield. No deviations in casing or verb style, making the naming highly predictable.

    Tool Count4/5

    Five tools is within the well-scoped 3-15 range, and each tool is clearly substantive, not filler. The count is slightly lean for a full physics/grasp pipeline, but every tool earns its place without redundancy.

    Completeness4/5

    The toolset covers a coherent pipeline: inspect parameters, simulate grasps, compile assets to multiple formats, generate scenes, and run real-time safety filtering. Minor gaps exist, such as no explicit catalog/list or update mechanism for registered objects, but agents can work around this.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues