Coreflux MQTT MCP Server

Coreflux MQTT MCP Server

The Coreflux MQTT MCP Server addresses a common bottleneck for developers building AI‑enabled IoT and automation solutions: the need to expose rich MQTT broker functionality to Model Context Protocol (MCP) clients in a secure, scalable, and developer‑friendly way. By acting as an MCP gateway, it translates the rich feature set of Coreflux MQTT—such as models, actions, rules, and routes—into the concise request/response format that Claude and other MCP‑compatible assistants expect. This eliminates the need for custom adapters or manual API wrappers, allowing AI agents to interact with devices and services as if they were native functions.

At its core, the server offers seamless MQTT integration with full TLS support, ensuring that messages flow securely between the broker and AI assistants. It exposes the complete Coreflux API, giving MCP clients direct access to every action, rule, or route available on the broker. Additionally, it supports Language‑of‑Things (LOT) code generation through the Coreflux Copilot API, enabling AI assistants to produce or modify device‑specific code snippets on demand. The server’s dynamic discovery feature automatically lists available actions, so clients can introspect capabilities without prior configuration. Health monitoring and structured logging provide operational visibility, making it easier to diagnose issues in production environments.

Key capabilities include:

• Production‑grade security: comprehensive log sanitization, input validation, and configurable rate limiting protect against misuse or accidental data leaks.
• Asynchronous processing: non‑blocking message handling with queue management ensures high throughput even under heavy load.
• DevOps friendliness: ready‑to‑run Docker images, Kubernetes support, and CI/CD pipelines streamline deployment in modern cloud environments.
• Extensive testing infrastructure: a full unit‑test suite with coverage reporting guarantees reliability and eases future maintenance.

Typical use cases span from smart building automation—where an AI assistant can trigger HVAC actions or read sensor data—to industrial IoT monitoring, where real‑time alerts are generated by AI based on rule evaluations. In a research lab, the server can expose experimental device APIs to an assistant that helps generate test scripts or interpret data streams. Because the server adheres strictly to MCP standards, any assistant that understands MCP can interact with it without bespoke integration work.

By bridging the gap between MQTT brokers and AI assistants, Coreflux MQTT MCP Server empowers developers to build intelligent, context‑aware applications that can read from, write to, and even program connected devices—all through a unified protocol. Its combination of security, scalability, and automation features makes it a standout choice for teams looking to embed AI into the fabric of their IoT ecosystems.