Skip to main content
Glama
CityEngine Cloud MCP Server

CityEngine Cloud MCP Server

Related Servers

Alternatives to CityEngine Cloud MCP Server

No user-submitted related servers found.

    Related Servers

    • F
      license
      C
      quality
      B
      maintenance
      Enables natural-language-driven architectural modeling across SketchUp and Blender, including native geometry creation, editable asset work, topology and clearance checks, project-state tracking, evidence capture, and rollback recovery.
      41
      -
    • A
      license
      A
      quality
      C
      maintenance
      Enables LLM agents to author EisenScript procedural grammars and render them headlessly into Wavefront OBJ meshes, returning vertex/face counts and bounding boxes alongside validation, linting, PNG previews, mesh-format conversion, batch gallery rendering, and Unreal import.
      12
      MIT
    • A
      license
      B
      quality
      B
      maintenance
      Open-source MCP server for Autodesk Revit 2022 to 2027: read, audit and edit live models with 89 tools, one Undo entry per change, and a workstation read-only lock.
      89
      15
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI assistants to design 3D-printable, multi-colour OpenStreetMap models in chat by finding places, creating and editing designs, rendering images or rotatable 3D views, and sharing links that open the design in a configurator.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI assistants to automate 2D architectural drafting and CAD file management, including DXF/DWG parsing, SVG/PNG/PDF rendering, wall extrusion to 3D STL meshes, room and beam analysis, block/script library access, and persistent depot storage via a REST API and MCP tools.
      18
      MIT

    TDQS

    A4/5.0

    Scored across 6 tools

    Disambiguation4/5

    parse_cga, generate_cga, and generate_model have related purposes, but descriptions clearly delineate them (parse renders CGA, generate_cga returns only source, generate_model chains both). The generate_model/generate_cga overlap could still cause some misselection when an agent just wants a model.

    Naming Consistency5/5

    All names follow a consistent verb_noun snake_case pattern (parse_cga, generate_cga, generate_model, list_demos, get_demo, get_quota). No mixed conventions or vague verbs.

    Tool Count5/5

    Six tools is well-scoped for a CGA generation/rendering service, with each tool earning a distinct role. Nothing feels padded or missing at the count level.

    Completeness4/5

    The core lifecycle (NL→CGA, CGA→model, combined flow) plus demos and quota is covered. Minor gaps exist around job lifecycle management (no cancel/list jobs) and standalone model retrieval, but agents can work around these.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues