Indexes the coding-agent sessions already sitting on your disk — months of history from before you installed it — and serves them back over MCP. 3.5 GB searched in ~1.5 ms, no LLM, no embeddings.
Blender
Summary
Control Blender from an AI client — build scenes, apply materials, and run Python against the live session.
Features
- Create and modify 3D scenes through conversation
- Run Python in Blender for anything not covered by a tool
- Pull assets from Poly Haven and generate models with Hyper3D
Installation
Set up this MCP server in your favorite AI agent — copy a ready-made configuration below.
Description
Blender MCP connects an AI assistant to a running Blender session through an add-on, letting it inspect and modify the scene by conversation. It is one of the most visually striking demonstrations of what MCP enables.
What it can do
- Scene inspection — list objects, read their transforms, materials, and hierarchy
- Object creation and modification — primitives, transforms, modifiers, and parenting
- Materials and lighting — create and assign materials, set up lights and world settings
- Python execution in Blender's interpreter, which is the escape hatch that makes everything else possible: anything the API can do, the assistant can do
- Asset integration — download models, textures, and HDRIs from Poly Haven, and generate models through Hyper3D Rodin
- Rendering the current scene and viewing the result
Realistic expectations
It is excellent for scene assembly, procedural work, batch operations, and learning Blender's Python API. It is not going to model a hero character for you. The sweet spot is the tedious middle — arranging, lighting, applying consistent materials, and scripting repetitive edits.
Setup
Install the Blender add-on from the repository, start the connection in Blender, and run uvx blender-mcp in your client.
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