blend-ai
Related Servers
Alternatives to blend-ai
No user-submitted related servers found.
Related Servers
- AlicenseCqualityCmaintenanceMCP server providing 138+ tools to control Blender 4.2 LTS, enabling modeling, coloring, rigging, animation, geometry nodes, UV, printing, batch operations, and IO through natural language from any AI assistant.1001MIT
- AlicenseNot gradedqualityCmaintenanceAn MCP server that enables AI agents to control Blender through natural language for 3D scene creation, animation, and rendering. It provides over 550 actions and direct Python execution via a bridge to a live local Blender session.7MIT
- AlicenseBqualityDmaintenanceAn MCP server that enables AI models to directly control Blender for 3D modeling, scene manipulation, and material management through natural language. It supports advanced workflows including Python code execution, viewport visualization, and integration with external asset libraries like Poly Haven and Hyper3D.221MIT
- AlicenseCqualityDmaintenanceMCP server that enables AI to control Blender 3D, providing 175 typed tools for objects, materials, animation, compositing, and more via the Model Context Protocol.1002MIT
- AlicenseNot gradedqualityDmaintenanceAn MCP server that enables AI assistants like Codex or ChatGPT to inspect and control a local Blender scene, including creating objects, editing materials, setting cameras and lights, rendering previews, and saving safe copies of .blend files.1MIT
- AlicenseNot gradedqualityCmaintenanceTransforms Blender into an MCP server with 50+ tools for AI-driven 3D workflows, enabling complete control over objects, materials, animations, physics simulations, and rendering through natural language commands.45MIT
TDQS
Scored across 276 tools
The descriptions are unusually diligent about cross-referencing near-duplicates (create_material vs create_principled_material vs create_procedural_material, boolean_operation vs booltool_auto_*, join_objects vs booltool_auto_union, set_smooth_shading vs shade_auto_smooth). However, at 276 tools there are large clusters with genuinely close boundaries: many select_* mesh tools, several material/shader setters, insert_keyframe vs keyframe_property vs add_driver, and multiple 'set_*_property' tools per domain. An agent can usually pick correctly after reading, but misselection risk across such a dense surface is real.
Almost everything is snake_case with a verb prefix (create_/add_/set_/list_/delete_/manage_/get_), and domain prefixes (booltool_auto_, uv_, gp_) are used consistently for grouping. Minor deviations exist (single-word 'remesh', 'keyframe_property' as a verb-less name, legacy 'boolean_operation' and 'edit_mesh_operation' style), but the pattern is highly readable.
276 tools for a Blender control server is an extreme surface; even though Blender is a vast domain, this far exceeds the 15-tool guideline and pushes tool selection into retrieval-by-reading rather than recognition. Many niche operations (annotation strokes, bone collections, view layer overrides) add cognitive load disproportionate to their use frequency.
Coverage is essentially exhaustive across modeling, sculpting, UVs, materials/shader nodes, geometry nodes, lighting, cameras, animation/NLA/drivers, physics, grease pencil, compositing, sequencer/video, rendering settings, assets and file I/O, with paired inspection tools (get_scene_info, analyze_mesh_quality, get_geometry_node_tree) preventing dead ends. Hard to identify a meaningful gap in the stated Blender-automation purpose.