UniFi MCP Server

The UniFi MCP Server is a lightweight bridge that lets AI assistants such as Claude Desktop query and control Ubiquiti’s UniFi ecosystem—specifically the UniFi Dream Machine (UDM) and UniFi Site Manager—directly from a conversational interface. By exposing a set of well‑defined tools, the server turns raw network telemetry into natural language‑friendly actions that developers can invoke without writing custom API wrappers.

What problem does it solve?
Network administrators and developers often need real‑time insights into device status, client activity, or performance metrics while troubleshooting or automating tasks. Traditional approaches require manual API calls, parsing JSON responses, and handling authentication. The MCP server abstracts these details: an AI client sends a single request (e.g., ), receives structured telemetry, and can immediately embed the information in a dialogue or trigger further actions. This reduces cognitive load and speeds up iterative debugging or data‑driven decision making.

Core capabilities
The server offers a concise set of tools that map directly to common UniFi operations:

• mcpGetClientDetails – Retrieves detailed information about a specific network client (e.g., MAC address, IP, uptime).
• mcpGetClients – Lists all connected clients with key attributes.
• mcpGetISPMetrics – Fetches site‑level performance metrics such as throughput, packet loss, or latency.
• mcpGetDateAndTime – Provides the current timestamp from the UDM, useful for synchronizing logs.
• mcpPing – Performs a network ping to verify connectivity or latency between the UDM and a target host.

Each tool is documented with clear schemas, enabling AI assistants to construct requests automatically and validate responses against expected types. The server’s early‑beta status means it may evolve, but the design intentionally avoids breaking changes.

Use cases and scenarios

• Real‑time monitoring: An AI assistant can answer questions like “Who is currently connected to the network?” or “Show me the top five clients by bandwidth.”
• Automated diagnostics: Trigger to confirm connectivity before escalating an issue, or use to alert on thresholds.
• Conversational reporting: Generate natural language summaries of network health or client activity for non‑technical stakeholders.
• Integration with other workflows: Combine UniFi data with ticketing systems or SIEM tools by piping MCP responses into downstream processes.

Integration workflow
Developers configure their MCP client to launch the UniFi server (typically via Docker or Podman) and supply necessary API credentials. Once connected, the AI assistant can invoke any tool as a single command; the server handles authentication, API calls to Ubiquiti’s endpoints, and response formatting. Because MCP clients already understand the tool schema, developers can focus on higher‑level logic—such as chaining responses or building composite queries—without worrying about low‑level networking details.

Unique advantages

• Zero‑code client integration: The server exposes a minimal set of tools, eliminating the need for custom SDKs or wrappers.
• Secure credential handling: API keys are passed via environment files, encouraging best practices for secrets management.
• Extensible architecture: As UniFi’s APIs evolve, new tools can be added without altering existing client code.
• Early beta with stability focus: The project aims to provide a reliable foundation for experimentation while allowing iterative growth.

In summary, the UniFi MCP Server empowers developers and network operators to harness UniFi telemetry within conversational AI workflows, turning raw device data into actionable insights with minimal friction.