MCP server for the CultivarIA platform, enabling AI assistants to query real-time and historical telemetry from cultivation modules, analyze plant health, and control actuators like irrigation and climate systems via standardized tools and resources.
Enables management and monitoring of farm operations including field and crop tracking, livestock monitoring, equipment management, and sensor readings through a Model Context Protocol interface built with FastMCP.
Connects AI assistants to physical devices via MCP, enabling LLMs to reason about sensor data, perform cross-device correlation, and interpret anomalies.
Exposes a deterministic IoT edge runtime — Modbus/CAN/J1939 acquisition, local rules, alarms, and history — to AI assistants as typed, governed MCP tools. Reads are safe by default; device control stays deny-by-default, explicitly confirmed, and audited.
Computes soil resource concern ratings for an area of interest using USDA Soil Data Access and exposes them as MCP tools, resources, and prompts for AI-assisted conservation planning.
Enables cloud LLM agents to discover and invoke physical hardware on edge and IoT devices through standard MCP tools, bridging constrained device channels like UART, BLE, and Wi-Fi.
