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AI Drone Toolkit

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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.

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 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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quality - not tested
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maintenance

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