Zammad-MCP vs memory
Side-by-side comparison to help you pick between these two MCP servers.
Zammad-MCP by basher83 | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 30 | ★ 85,748 |
| 30d uses | — | — |
| Score | 46 | 77 |
| Official | — | ✓ |
| Categories | ProductivityCommunicationDeveloper Tools | Knowledge GraphAI / LLM ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | this month | this month |
Zammad-MCP · Summary
A comprehensive MCP server for Zammad integration with extensive ticket management tools, attachment support, and both stdio/HTTP transport options.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
Zammad-MCP · Use cases
- AI assistants can create, update, and analyze customer support tickets in real-time
- Automated ticket categorization and prioritization based on content analysis
- Generate personalized responses to customer inquiries based on ticket history and user profiles
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
Zammad-MCP · Install
Installation
With Claude Desktop
Add to your Claude Desktop configuration:
{
"mcpServers": {
"zammad": {
"command": "uvx",
"args": ["--from", "git+https://github.com/basher83/zammad-mcp.git", "mcp-zammad"],
"env": {
"ZAMMAD_URL": "https://your-instance.zammad.com/api/v1",
"ZAMMAD_HTTP_TOKEN": "your-api-token"
}
}
}
}With Docker
docker run --rm -i \
-e ZAMMAD_URL=https://your-instance.zammad.com/api/v1 \
-e ZAMMAD_HTTP_TOKEN=your-api-token \
ghcr.io/basher83/zammad-mcp:latestmemory · 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"]
}
}
}