ultimate_mcp_server vs mcp-server-memos-py
Side-by-side comparison to help you pick between these two MCP servers.
ultimate_mcp_server by Dicklesworthstone | mcp-server-memos-py by RyoJerryYu | |
|---|---|---|
| Stars | ★ 149 | ★ 21 |
| 30d uses | — | — |
| Score | 85 | 40 |
| Official | — | — |
| Categories | AI / LLM ToolsBrowser AutomationFile System | ProductivityKnowledge GraphAI / LLM Tools |
| Language | Python | Python |
| Last commit | 2 mo ago | 7 mo ago |
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-server-memos-py · Summary
Python MCP server enabling LLM interaction with Memos for memo search, creation, and management.
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-server-memos-py · Use cases
- Automate memo creation and management through LLM interactions
- Search and retrieve existing memos using natural language queries
- Integrate Memos knowledge base into AI workflows for enhanced context
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-server-memos-py · Install
Installation
Via Smithery (Recommended for Claude Desktop)
npx -y @smithery/cli install @RyoJerryYu/mcp-server-memos-py --client claudeManual Installation
pip install mcp-server-memosClaude Desktop Configuration
Add to your Claude Desktop config.json:
{
"mcpServers": {
"memos": {
"command": "uvx",
"args": [
"--prerelease=allow",
"mcp-server-memos",
"--host",
"localhost",
"--port",
"5230",
"--token",
"your-access-token-here"
]
}
}
}