ntfy-mcp-server vs memory
Side-by-side comparison to help you pick between these two MCP servers.
ntfy-mcp-server by cyanheads | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 16 | ★ 85,748 |
| 30d uses | — | — |
| Score | 42 | 77 |
| Official | — | ✓ |
| Categories | CommunicationProductivityDeveloper Tools | Knowledge GraphAI / LLM ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | this month | this month |
ntfy-mcp-server · Summary
A robust MCP server for sending, managing and replaying ntfy push notifications via STDIO or HTTP transport.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
ntfy-mcp-server · Use cases
- Receiving and responding to critical system alerts through MCP clients
- Managing notification workflows across multiple ntfy topics
- Archiving and replaying past notifications for audit purposes
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
ntfy-mcp-server · Install
Installation can be done via NPM or Docker:
bunx ntfy-mcp-server@latestAdd to Claude Desktop configuration:
{
"mcpServers": {
"ntfy": {
"type": "stdio",
"command": "bunx",
"args": ["ntfy-mcp-server@latest"],
"env": {
"MCP_TRANSPORT_TYPE": "stdio",
"MCP_LOG_LEVEL": "info",
"NTFY_DEFAULT_TOPIC": "your-topic-name"
}
}
}
}With Docker:
{
"mcpServers": {
"ntfy": {
"type": "stdio",
"command": "docker",
"args": [
"run", "-i", "--rm",
"-e", "MCP_TRANSPORT_TYPE=stdio",
"-e", "NTFY_DEFAULT_TOPIC=your-topic-name",
"ghcr.io/cyanheads/ntfy-mcp-server:latest"
]
}
}
}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"]
}
}
}