dcc-mcp-blender
Enables AI agents to programmatically control Blender workflows—modeling, rigging, materials, rendering—reducing manual 3D work and integrating generative ca…
Blender MCP addon for AI agents to model, edit meshes and UVs, rig, build materials and render scenes through typed tools in the DCC-MCP ecosystem.
- Ask Claude to generate a 3D mesh model from a text description and export it.
- Automate UV mapping and material assignment for multiple mesh objects in Blender.
- Generate a rigged character model with bones and prepare it for animation.
Enables AI agents to programmatically control Blender workflows—modeling, rigging, materials, rendering—reducing manual 3D work and integrating generative capabilities into production pipelines.
3D production teams and generative AI developers automating asset creation and scene iteration at scale.
https://github.com/dcc-mcp/dcc-mcp-blender
By dcc-mcp
How to Get It
claude mcp add dcc-mcp-blender -- npx -y dcc-mcp-blender
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
Once it’s connected, paste this into Claude:
Generate a 3D mesh model from a text description and export it
Trust Signals Auto-scanned
Data & Access
Community Pulse Quiet
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 47 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 47 GitHub stars; contributors unknown; last commit 0d ago; license MIT.