MCP Catalogs
Home

memora vs ultimate_mcp_server

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

memora
by agentic-box
ultimate_mcp_server
by Dicklesworthstone
Stars★ 405★ 149
30d uses
Score5385
Official
Categories
AI / LLM ToolsKnowledge GraphDeveloper Tools
AI / LLM ToolsBrowser AutomationFile System
LanguagePythonPython
Last committhis month2 mo ago

memora · Summary

A lightweight MCP server for semantic memory storage, knowledge graphs, and persistent memory for AI agents.

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.

memora · Use cases

  • Building long-term memory for AI agents that persist across sessions
  • Creating personal knowledge graphs with automatic memory linking and relationships
  • Developing AI-powered note-taking applications with semantic search capabilities

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

memora · Install

Installation

pip install git+https://github.com/agentic-box/memora.git

With Claude Desktop, add to your config.json:

{
  "mcpServers": {
    "memora": {
      "command": "memora-server",
      "args": [],
      "env": {
        "MEMORA_DB_PATH": "~/.local/share/memora/memories.db",
        "MEMORA_ALLOW_ANY_TAG": "1"
      }
    }
  }
}

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