ultimate_mcp_server vs mcp-engine-public
Side-by-side comparison to help you pick between these two MCP servers.
ultimate_mcp_server by Dicklesworthstone | mcp-engine-public by maxanatsko | |
|---|---|---|
| Stars | ★ 149 | ★ 237 |
| 30d uses | — | — |
| Score | 85 | 49 |
| Official | — | — |
| Categories | AI / LLM ToolsBrowser AutomationFile System | Developer ToolsAI / LLM ToolsProductivity |
| Language | Python | — |
| Last commit | 2 mo ago | this 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.
mcp-engine-public · Summary
MCP server for Power BI model interaction, enabling AI assistants to programmatically query and modify Power BI models.
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
mcp-engine-public · Use cases
- Automating Power BI model modifications through AI natural language commands
- Running DAX queries to analyze data without leaving the AI conversation
- Testing and validating model changes before deployment
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_servermcp-engine-public · Install
Installation
- Download the latest release from [GitHub releases](https://github.com/maxanatsko/mcp-engine-public/releases)
- Follow the [installation guide](https://semanticops.dev/getting-started)
Claude Desktop Configuration
Add this to your Claude Desktop configuration:
{
"mcpServers": {
"semanticops": {
"command": "path/to/semanticops-mcp",
"args": []
}
}
}