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Glama

Related Servers

Alternatives to hy3d-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables agents to turn a single image into a textured 3D mesh (GLB, OBJ with vertex colours, plus a turntable PNG) entirely on local hardware. Exposes capability reporting, dry-run planning, job queuing, and status/result retrieval so quality presets, hardware tiers, and consented model downloads can be driven through natural language.
      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI clients to generate 3D models through natural language, including text-to-3D and image-to-3D, with tools for checking balance, refining models, converting formats, and a local 3D viewer that works without external network access.
      2
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to run a fully local 3D asset production pipeline: submit a reference image and a plain-language brief, generate a textured GLB, render multi-view images, inspect results against the renders, and export Blender-checkable scenes through self-describing figure_* tools. Every run also writes a provenance ledger recording inputs, commands, backend versions and output hashes so any artifact can be reproduced or audited.
      1
      AGPL 3.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to create, edit, and export 3D models (GLB, USDZ) from natural-language descriptions and YAML, with rendering and problem detection.
      8 npm
      MIT

    TDQS

    A4.2/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool addresses a distinct stage: concept preparation, model generation, texturing/finishing, preview rendering, and server diagnostics. There is no functional overlap or ambiguity between them.

    Naming Consistency4/5

    Four of five tools follow a clear verb_noun pattern (prepare_concept, generate_model, finish_model, render_preview). server_status breaks the pattern slightly but remains readable and predictable within the set.

    Tool Count5/5

    Five tools are well-scoped for the server's purpose, covering the essential pipeline without redundancy or bloat. Each tool has a clear role and earns its place.

    Completeness5/5

    The full lifecycle from concept image to finished model preview is covered: prepare concept, generate model, optionally finish texturing, and render preview. server_status adds operational coverage. No critical gaps are apparent.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues