An MCP server that bridges the physical world and AI models by enabling natural language control of IoT hardware via the MQTT protocol. It supports real-time device monitoring, command publishing, and response handling for seamless integration between AI clients and physical devices.
Bridges the Model Context Protocol (MCP) with ESP32 devices running Tasmota firmware, enabling LLMs to send structured commands like toggling relays or reading sensors via HTTP.
Enables LLM agents to securely monitor and control MQTT devices for building automation, industrial control, and smart home systems through a standardized MCP interface.
MCP server for Raspberry Pi peripheral bus access, enabling AI agents to interact with CAN, I2C, SPI, UART, and GPIO directly through natural language.
A Model Context Protocol server that bridges MCP clients with local LLM services, enabling seamless integration with MCP-compatible applications through standard tools like chat completion, model listing, and health checks.
