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ultimate_mcp_server vs glade-mcp-unity

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

ultimate_mcp_server
by Dicklesworthstone
glade-mcp-unity
by Glade-tool
Stars★ 149★ 132
30d uses
Score8550
Official
Categories
AI / LLM ToolsBrowser AutomationFile System
Developer ToolsAI / LLM ToolsProductivity
LanguagePythonC#
Last commit2 mo agothis month

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.

glade-mcp-unity · Summary

A comprehensive Unity MCP server with 235+ tools, script search, and asset pipeline.

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

glade-mcp-unity · Use cases

  • Unity developers getting AI assistance directly in their IDE
  • Game design documentation implementation in Unity projects
  • Free asset discovery and integration for game prototypes

ultimate_mcp_server · Install

Installation

  1. Clone the repository:
git clone https://github.com/Dicklesworthstone/ultimate_mcp_server.git
cd ultimate_mcp_server
  1. Install dependencies:
pip install -e .
  1. For Claude Desktop integration, add to your claude_desktop_config.json:
{
  "mcpServers": {
    "ultimate-mcp": {
      "command": "python",
      "args": ["-m", "ultimate_mcp_server"],
      "env": {
        "PYTHONPATH": "."
      }
    }
  }
}
  1. Run the server:
python -m ultimate_mcp_server

glade-mcp-unity · Install

Installation

1. Install the Unity package

In Unity: **Window > Package Manager > + > Add package from git URL...**

https://github.com/Glade-tool/glade-mcp-unity.git?path=/unity-bridge

The Unity bridge starts automatically on localhost:8765.

2. Connect your AI client

Install [uv](https://docs.astral.sh/uv/getting-started/installation/) and add the MCP config to your AI client.

**Claude Desktop:**

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (Mac) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "gladekit-unity": {
      "command": "uvx",
      "args": ["gladekit-mcp"]
    }
  }
}
Comparison generated from public README + GitHub signals. Last updated automatically.