Optimize routes for multiple drone deliveries simultaneously by coordinating multiple drones to handle capacity and temperature requirements efficiently.
Retrieve a comprehensive list of all drone analyzers within the system to facilitate efficient monitoring and management of digital forensics and incident response processes.
A TypeScript-based MCP server scaffold designed for monitoring and interacting with Drone CI environments. It provides tools for webhook parsing, HMAC signature verification, and state management for CI/CD pipelines.
Enables Large Language Models to interact with the ILP Drone Delivery System to plan deliveries, check drone availability, and generate route visualizations. It allows users to manage logistics tasks like capacity planning and temperature requirement matching through natural language.
Enables natural language interaction with Betaflight FPV drone flight controllers for configuration, PID tuning, sensor monitoring, VTX control, and blackbox management through Claude AI.