AI Drone Toolkit

MCP servers and tools for intelligent drone development (PX4 and beyond). The toolkit gives AI assistants (Cursor, Claude, etc.) structured tools to understand, debug, and reason about drone systems — starting with PX4 flight logs.

This is a uv workspace monorepo: shared logic lives in a core package, and each tool is a thin, independently usable layer on top of it.

Repository layout

Related MCP server: Log Analyzer MCP Server

Getting started

Requires Python 3.12+ and uv.

git clone https://github.com/robotto-xyz/ai-drone-toolkit.git
cd ai-drone-toolkit
uv sync --all-packages

This sets up a single virtual environment for the whole workspace. From there, work on any member, e.g. run the PX4 ULog MCP server:

uv run px4-ulog-mcp

Examples

Runnable scripts live in examples/ and drive the shared core package directly — no MCP client needed:

# Summarize a flight log (defaults to the PX4 sample fixture):
uv run python examples/analyze_ulog.py /absolute/path/to/flight.ulg

# Flag warnings/errors and the flight-mode timeline:
uv run python examples/flight_health_check.py /absolute/path/to/flight.ulg

See examples/README.md for details.

Documentation

• docs/ — architecture and project-wide guides.

• packages/robotto-drone-core/README.md — the shared parsing API.

• tools/px4-ulog-mcp/README.md — install, wire into your editor, and analyze flight logs.

License

MIT.