Blender integration with local AI models via MCP and Ollama
Until 2026-09-24 this record combined several servers published from one repository. The others now have records of their own: mseep-blender-open-mcp. Checks from before that date include them.
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"iflow-mcp-blender-open-mcp","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# blender-open-mcp `blender-open-mcp` is an open source project that integrates Blender with local AI models (via [Ollama](https://ollama.com/)) using the Model Context Protocol (MCP). This allows you to control Blender using natural language prompts, leveraging the power of AI to assist with 3D modeling tasks. ## Features - **Control Blender with Natural Language:** Send prompts to a locally running Ollama model to perform actions in Blender. - **MCP Integration:** Uses the Model Context Protocol for structured communication between the AI model and Blender. - **Ollama Support:** Designed to work with Ollama for easy local model management. - **Blender Add-on:** Includes a Blender add-on to provide a user interface and handle communication with the server. - **PolyHaven Integration (Optional):** Download and use assets (HDRIs, textures, models) from [PolyHaven](https://polyhaven.com/) directly within Blender via AI prompts. - **Basic 3D Operations:** - Get Scene and Object Info - Create Primitives - Modify and delete objects - Apply materials - **Render Support:** Render images using the tool and retrieve information based on the output. ## Installation ### Prerequisites 1. **Blender:** Blender 3.0 or later. Download from [blender.org](https://www.blender.org/download/). 2. **Ollama:** Install from [ollama.com](https://ollama.com/), following OS-specific instructions. 3. **Python:** Python 3.10 or later. 4. **uv:** Install using `pip install uv`. 5. **Git:** Required for cloning the repository. ### Installation Steps 1. **Clone the Repository:** ```bash git clone https://github.com/dhakalnirajan/blender-open-mcp.git cd blender-open-mcp ``` 2. **Create and Activate a Virtual Environment (Recommended):** ```bash uv venv source .venv/bin/activate # On Linux/macOS .venv\Scripts\activate # On Windows ``` 3. **Install Dependencies:** ```bash uv pip install -e . ``` 4. **Install the Blender Add-on:** - Open …
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.