memory vs mingli-mcp
Side-by-side comparison to help you pick between these two MCP servers.
memory by modelcontextprotocol | mingli-mcp by spyfree | |
|---|---|---|
| Stars | ★ 85,748 | ★ 2 |
| 30d uses | — | — |
| Score | 77 | 38 |
| Official | ✓ | — |
| Categories | Knowledge GraphAI / LLM ToolsProductivity | AI / LLM ToolsOther |
| Language | TypeScript | Python |
| Last commit | this month | 2 mo ago |
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
mingli-mcp · Summary
A feature-rich fortune telling MCP server supporting Zi Wei Doushu, Bazi, and planned astrology systems with multi-language output.
memory · Use cases
- Personalizing AI assistant interactions by remembering user preferences, history, and relationships
- Building context-aware chat applications that maintain conversation history
- Creating knowledge bases that persist across AI model sessions
mingli-mcp · Use cases
- Fortune tellers can use it to quickly generate birth charts and analysis for clients
- AI assistants can provide personalized fortune analysis through MCP integration
- Developers can integrate fortune-telling capabilities into their applications
- Users can get multi-dimensional life insights through various palace analyses
memory · Install
Installation
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"memory": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
}
}VS Code
Use one-click installation buttons or manually configure in .vscode/mcp.json:
{
"servers": {
"memory": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
}
}Docker
{
"mcpServers": {
"memory": {
"command": "docker",
"args": ["run", "-i", "-v", "claude-memory:/app/dist", "--rm", "mcp/memory"]
}
}
}mingli-mcp · Install
Installation
Using uvx (Recommended)
Add to your MCP configuration:
{
"mcpServers": {
"mingli": {
"command": "uvx",
"args": ["mingli-mcp"],
"env": {
"LOG_LEVEL": "INFO"
}
}
}
}From source
git clone https://github.com/spyfree/mingli-mcp
cd mingli-mcp
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txtThen configure your MCP client to use:
{
"mcpServers": {
"mingli": {
"command": "/path/to/venv/bin/python",
"args": ["/path/to/mingli_mcp.py"]
}
}
}