blender-open-mcp vs ultimate_mcp_server

Side-by-side comparison to help you pick between these two MCP servers.

	blender-open-mcp by dhakalnirajan	ultimate_mcp_server by Dicklesworthstone
Stars	★ 97	★ 149
30d uses	—	—
Score	47	85
Official	—	—
Categories	AI / LLM ToolsDeveloper ToolsMedia	AI / LLM ToolsBrowser AutomationFile System
Language	Python	Python
Last commit	1 mo ago	2 mo ago

blender-open-mcp · Summary

An MCP server that connects Blender 3D with local AI models via Ollama for natural language control.

ultimate_mcp_server · Summary

Comprehensive MCP server providing dozens of capabilities for AI agents including LLM delegation, browser automation, document processing, and cognitive memory systems.

blender-open-mcp · Use cases

3D artists controlling Blender with natural language commands
AI-assisted modeling and texturing workflows
Automating Blender tasks through MCP clients

ultimate_mcp_server · Use cases

Complex document processing and analysis with OCR and structured data extraction
Web automation and research across multiple sites with browser control
Cost-optimized AI workflows through intelligent task delegation between models

blender-open-mcp · Install

Installation

Prerequisites

Blender 3.0+
Python 3.10+
Ollama
uv

Steps

Clone and install:

git clone https://github.com/dhakalnirajan/blender-open-mcp.git
cd blender-open-mcp
uv venv
source .venv/bin/activate  # Linux / macOS
# .venv\Scripts\activate    # Windows
uv pip install -e .

Install Blender add-on:

Open Blender
Edit → Preferences → Add-ons → Install...
Select addon.py from repository
Enable "Blender MCP"

Pull Ollama model:

ollama pull llama3.2

Claude Desktop / Cursor Integration

Add to mcp.json:

{
  "mcpServers": {
    "blender-open-mcp": {
      "command": "blender-mcp",
      "args": ["--transport", "stdio"]
    }
  }
}

ultimate_mcp_server · Install

Installation

Clone the repository:

git clone https://github.com/Dicklesworthstone/ultimate_mcp_server.git
cd ultimate_mcp_server

Install dependencies:

pip install -e .

For Claude Desktop integration, add to your claude_desktop_config.json:

{
  "mcpServers": {
    "ultimate-mcp": {
      "command": "python",
      "args": ["-m", "ultimate_mcp_server"],
      "env": {
        "PYTHONPATH": "."
      }
    }
  }
}

Run the server:

python -m ultimate_mcp_server

Comparison generated from public README + GitHub signals. Last updated automatically.