Rhombus MCP Server

The Rhombus MCP Server turns a commercial security platform into an AI‑ready data source. By exposing the Rhombus API through the Model Context Protocol, it allows AI assistants such as Claude to query real‑time camera feeds, alarm logs, access control events, and sensor readings directly from the security console. This solves a common pain point for developers: integrating heterogeneous, enterprise‑grade security infrastructure into conversational agents without writing custom connectors or dealing with OAuth flows.

At its core, the server provides a set of high‑level tools that mirror the Rhombus feature set. A developer can ask the assistant to “list all active door locks” or “give me the latest motion detection from Camera 3”, and the MCP server translates those requests into authenticated API calls, returning structured JSON that Claude can parse and reason about. The value lies in the abstraction layer: security engineers no longer need to understand REST endpoints, pagination, or rate limits; they can focus on crafting prompts that leverage live security data.

Key capabilities include:

• Real‑time event retrieval: Pull the latest alerts, camera snapshots, or sensor states on demand.
• Historical querying: Access logs for a specified time window, useful for investigations or compliance reporting.
• Device management: List and filter cameras, doors, or sensors by status, location, or type.
• Security‑first design: All communication is authenticated via an API key supplied at launch, and the server runs in a Docker container or via NPX for easy deployment.

Typical use cases span from automated incident response to intelligent monitoring dashboards. A security analyst could ask the assistant, “Show me all cameras with motion detected in the past 15 minutes,” and immediately receive a concise summary, freeing up time for higher‑level decision making. In a smart building scenario, a building manager could use the assistant to check door lock status before leaving for the day or to trigger an alarm if a sensor reports abnormal environmental conditions.

Integration is straightforward: once the MCP server is running, any MCP‑compatible client (Claude Desktop, other assistants, or custom tooling) discovers the server in its tool list. The assistant then treats Rhombus operations as first‑class tools, enabling seamless chaining of queries and actions. This tight coupling means developers can build complex workflows—such as “If motion is detected in a restricted zone, automatically lock the door and notify security”—without writing glue code.

What sets this server apart is its focus on enterprise‑grade physical security combined with AI. The Rhombus platform already provides robust camera analytics, alarm monitoring, and access control; the MCP layer simply unlocks that data for conversational agents. By bridging a proven security stack with modern AI workflows, it empowers developers to create smarter, faster, and more secure solutions that leverage the best of both worlds.