Synology MCP Server: Give AI Agents Access to Your NAS Storage, Docker Packages, and System Health

Why Give AI Access to Synology?

Synology makes the most popular NAS devices for home users, small businesses, and enterprises. DiskStation Manager (DSM) handles file storage, RAID arrays, Docker containers, surveillance, backups, and dozens of other packages from a single web interface.

But when you're coding in Claude or Cursor, your AI assistant can't see your NAS. It can't tell you if a disk is failing, whether a backup job completed, or how much storage remains. You end up switching to DSM every time you need to check infrastructure state.

With DataFaucet, you browse your Synology DSM once and it captures the API calls as MCP tools. Now your AI coding assistant can query storage health, read system logs, and check Docker containers directly.

What AI Agents Can Do With Synology Access

Once DataFaucet creates an MCP server from your Synology session, AI agents can:

• Check storage pool health including RAID status, disk temperatures, and S.M.A.R.T. data
• Monitor volume usage with available space, quotas, and growth trends
• List Docker containers running on your NAS with status, ports, and resource usage
• Read system logs for errors, warnings, and security events
• Verify backup jobs completed successfully (Hyper Backup, Active Backup)
• Check package status to see which services are running or need updates
• View network activity including connected users and shared folder access

Setting Up Synology as an MCP Server with DataFaucet

1. Open your Synology DSM web interface and navigate through Storage Manager, Docker, Control Panel, and Log Center
2. DataFaucet captures the API calls your browser makes to DSM's backend
3. Click "Create MCP Server" and DataFaucet generates structured tools from those endpoints
4. Add the MCP server URL to your AI client (Claude, Cursor, Windsurf)
5. Your AI can now query Synology data in real-time

The entire process takes about two minutes. Works with DSM 7.x.

Example Queries Your AI Can Answer

After connecting, try asking your AI:

• "How much free space is left on the main volume?"
• "Are all drives healthy? Any S.M.A.R.T. warnings?"
• "Did last night's Hyper Backup job finish successfully?"
• "Which Docker containers are running on the NAS?"
• "Are there any failed login attempts in the security log?"
• "What's the current CPU and RAM usage on the NAS?"

Your AI can answer these instantly because it has real-time access to your Synology API through MCP tools.

DataFaucet vs Synology's Web API

Works With Any Synology on Your Network

Since DataFaucet captures API calls from your browser, it works with any Synology NAS on your local network or accessible via QuickConnect. Your AI assistant gets the same data you see in DSM, whether it's a simple home NAS or a rack-mounted enterprise unit.

Use Cases

• Storage awareness: AI flags volumes approaching capacity while you code
• Backup verification: Confirm backups completed without opening DSM
• Docker management: Quick status checks on containerized services running on your NAS
• Disk health monitoring: AI alerts you to S.M.A.R.T. warnings before failures
• Security auditing: AI reads login logs to flag suspicious access patterns

Get Started

DataFaucet turns your Synology DSM interface into structured MCP tools in under two minutes. No custom API code, no SSH access, no DSM package installation.

Create your Synology MCP server and give your AI coding assistant full visibility into your NAS infrastructure.