memory vs mcp-notifications
Side-by-side comparison to help you pick between these two MCP servers.
memory by modelcontextprotocol | mcp-notifications by zudsniper | |
|---|---|---|
| Stars | ★ 85,748 | ★ 6 |
| 30d uses | — | — |
| Score | 77 | 37 |
| Official | ✓ | — |
| Categories | Knowledge GraphAI / LLM ToolsProductivity | CommunicationDeveloper ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | this month | 9 mo ago |
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
mcp-notifications · Summary
MCP server for real-time notifications and webhooks when AI agents complete 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-notifications · Use cases
- Receiving notifications when AI assistants finish tasks in Cursor or other AI tools
- Setting up cross-platform alerts to Slack, Discord, or Teams for AI agent activities
- Creating a notification system for AI workflows across multiple development projects
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"]
}
}
}mcp-notifications · Install
# Clone the repository
git clone https://github.com/zudsniper/mcp-notifications.git
cd mcp-notifications
# Install dependencies
npm install
# Build the package
npm run buildLegacy MCP Server Integration
For Claude Desktop, add to your claude_desktop_config.json:
{
"mcpServers": {
"notifier": {
"command": "node",
"args": [
"/path/to/legacy/build/index.js"
],
"env": {
"WEBHOOK_URL": "https://ntfy.sh/webhook-url-example",
"WEBHOOK_TYPE": "ntfy"
}
}
}
}For the new SSE-based system, deploy to Cloudflare Workers and configure your AI tools to connect to the SSE endpoint.