mcp-server vs memory
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server by Aayush9029 | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 42 | ★ 85,748 |
| 30d uses | — | — |
| Score | 45 | 77 |
| Official | — | ✓ |
| Categories | ProductivityDeveloper ToolsCommunication | Knowledge GraphAI / LLM ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 2 mo ago | this month |
mcp-server · Summary
A task management MCP server that connects AI assistants to iPhone task tracking with notifications.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
mcp-server · Use cases
- AI assistants create tasks during coding sessions that sync to iPhone
- Automatically update task status as AI completes work
- Receive iPhone notifications when AI assistants finish tasks
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
mcp-server · Install
Quick Start
1. Get Your API Key
Download the iOS app from the App Store
2. Configure Claude Desktop
Add this to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"task-manager": {
"command": "npx",
"args": [
"mcp-remote",
"https://task-mcp-server.aayushpokharel9029.workers.dev/sse?apiKey=YOUR_API_KEY"
]
}
}
}3. Configure Other MCP Clients
For Cursor or other MCP clients:
{
"mcpServers": {
"task-manager": {
"url": "https://task-mcp-server.aayushpokharel9029.workers.dev/sse?apiKey=YOUR_API_KEY"
}
}
}Replace YOUR_API_KEY with your actual API key.
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"]
}
}
}