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Mavlinkmcp
A Python-based MAVLink Model Context Protocol (MCP) server for interacting with MAVLink-supported devices (such as drones running PX4).
rating : 2.5 points
downloads : 7.6K
What is the MAVLink MCP Server?
The MAVLink MCP Server is a middleware service that allows developers and users to communicate with MAVLink devices such as drones through standard protocols. It simplifies the interaction process with the flight control system.How to use the MAVLink MCP Server?
After installing the Python environment, you can start the server with simple commands, and then use the example client or a custom program to interact with the drone.Applicable scenarios
Scenarios that require communication with MAVLink devices, such as drone development and testing, automated flight control, flight data analysis, and educational research.Main features
MAVLink protocol support
Fully supports the MAVLink communication protocol and can communicate with various compatible devices
Python implementation
Developed based on Python, easy to expand and integrate
FastAgent integration
Provides an example client to show how to build an AI control agent through the FastAgent library
Advantages
Open source and free, based on the MIT license
Lightweight implementation, low resource consumption
Supports Python 3.10+, good compatibility
Provides example code, easy to get started
Limitations
Requires a Python environment and is not suitable for direct embedded deployment
Currently only provides basic functions, and advanced functions need to be expanded by yourself
The documentation is relatively simple, and some functions need to be understood by viewing the source code
How to use
Installation preparation
Ensure that Python 3.10 or a higher version is installed on the system
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Get the code
Clone the GitHub repository to the local machine
Install dependencies
Install all Python dependency packages required by the project
Start the server
Run the main program to start the MCP server
Usage examples
Basic drone control
Send basic control instructions, such as takeoff, landing, and waypoint navigation, through the MCP server
AI-assisted flight
Combine the OpenAI API to implement intelligent flight decision-making
Frequently asked questions
What kind of hardware support is required?
How to connect to a specific drone device?
Does the example client require an OpenAI key?
Related resources
MAVLink official documentation
Official documentation for the MAVLink protocol
PX4 autopilot
Popular open-source flight control software
FastAgent library
A Python library for building AI agents
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