"Drone" matching MCP servers:

Enables natural language control of a simulated drone for search missions, with tools for takeoff, movement, scanning, and landing via MCP.

Enables parallel agent tasks on disposable Arch Linux drones by providing a local stdio gateway for batch job submission, status monitoring, log retrieval, artifact fetching, and cancellation across SSH-connected runners.

Enables controlling a Tello drone through natural language commands in Claude. Supports takeoff, landing, movement, photo capture, and battery monitoring.

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.

Local-first MCP server that turns raw drone footage into a polished marketing cut through conversational interaction with Claude.

MCP server for inspecting PX4 ULog flight logs, enabling AI assistants to understand, debug, and reason about drone systems.

Enables natural language interaction with Betaflight FPV drone flight controllers for configuration, PID tuning, sensor monitoring, VTX control, and blackbox management through Claude AI.

Enables ArduPilot drone control through MAVSDK plugins, supporting mission upload, telemetry, and flight commands via MCP tools.

Enables AI assistants to read WeCom online spreadsheets (read-only) from a shared link, listing worksheets and data ranges, reading text, formatting, and cell images, and searching sheet contents using each caller's own login cookie.

This MCP server lets coding agents research and score leads, draft cold emails, run every message through CAN-SPAM and deliverability gates, and hold them for human approval while logging why each lead was contacted. It enforces caps, warmup ramps, and a Tuesday/Wednesday send window, and by default never sends anything.

MCP server that connects a local LLM to a DJI Tello drone via UDP, enabling natural language flight planning and execution with safety-focused separation of plan and execution, plus a full simulator for development.