px4-ulog-mcp

px4-ulog-mcp

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

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README

<p align="center"> <img src="docs/assets/banner.jpg" alt="AI Drone Toolkit by Robotto" width="100%" /> </p>

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 and simulation-only PX4 SITL command.

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

Path Description
packages/robotto-drone-core Shared, MCP-agnostic parsers, safety checks, and coordinate-frame utilities.
tools/px4-ulog-mcp MCP server for inspecting PX4 ULog (.ulg) flight logs.
tools/px4-sitl-mcp Simulation-only MCP server for commanding PX4 SITL with safety checks.
docs/ Project-wide documentation.
examples/ Runnable examples and demos.

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 or the PX4 SITL command server:

uv run px4-ulog-mcp
uv run px4-sitl-mcp

Examples

Runnable scripts live in examples/ and drive the shared core package or tool layers directly:

# 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

# Requires a running PX4 SITL instance:
uv run python examples/sitl_connect_state.py
uv run python examples/sitl_fly_survey.py

See examples/README.md for details.

Documentation

License

MIT.

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