MCP Server
Tools · 5 min
MCP (Model Context Protocol) connects AI assistants like Claude directly to your infrastructure.
What is MCP?
- Open standard for AI-tool integration
- Claude can access your servers
- Read metrics, trigger workflows
- Self-hosted - no cloud needed
Popular MCP Servers
| Server | Purpose |
|---|---|
| Docker MCP | Container management |
| Prometheus MCP | Read metrics |
| Grafana MCP | Dashboards, alerts |
| Proxmox MCP | VM management |
| n8n MCP | Trigger workflows |
| Ollama MCP | Local LLMs |
Setup Example
# claude_desktop_config.json
{
"mcpServers": {
"docker": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-docker"]
},
"prometheus": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-prometheus"]
},
"filesystem": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/allowed"]
}
}
}Use Cases
- "Show me CPU usage of my Docker containers"
- "Restart the n8n container"
- "Trigger the backup workflow"
- "What alerts do we have in Grafana?"
Next step: ship workflows that stay operable
Use proven n8n patterns, templates and integrations for workflows that stay local, documented, and auditable.
Why AI Engineering
- Local and self-hosted by default
- Documented and auditable
- Built from our own runtime
- Made in Austria
Not legal advice.