ultimate_mcp_server vs superlocalmemory

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

	ultimate_mcp_server by Dicklesworthstone	superlocalmemory by qualixar
Stars	★ 149	★ 150
30d uses	—	—
Score	85	50
Official	—	—
Categories	AI / LLM ToolsBrowser AutomationFile System	AI / LLM ToolsDeveloper ToolsProductivity
Language	Python	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.

superlocalmemory · Summary

A local-only AI memory system with MCP integration for unlimited memory across AI 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

superlocalmemory · Use cases

Enhancing AI coding assistants like Claude Code, Cursor, and Windsurf with persistent memory across sessions
Building private, on-device AI agents with unlimited memory that never send data to cloud services
Creating research applications requiring GDPR/EU AI Act compliance with no external data transmission

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

superlocalmemory · Install

Install via npm (recommended)

npm install -g superlocalmemory
slm setup     # Choose mode (A/B/C)
slm doctor    # Verify everything is working
slm warmup    # Pre-download embedding model (~500MB, optional)

Install via pip

pip install superlocalmemory

MCP Integration (Claude, Cursor, Windsurf, VS Code, etc.)

{
  "mcpServers": {
    "superlocalmemory": {
      "command": "slm",
      "args": ["mcp"]
    }
  }
}

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