Mavlinkmcp
What is Mavlinkmcp
MAVLinkMCP is a Python-based Model Context Protocol (MCP) server designed for communication between LLM (Large Language Models) and MAVLink-enabled devices, primarily drones.
Use cases
Use cases for MAVLinkMCP include controlling drones for delivery services, conducting aerial surveys, and integrating LLMs for automated decision-making in drone operations.
How to use
To use MAVLinkMCP, clone the repository, install the required dependencies, configure the server settings in the YAML files, and run the MCP server using the command ‘python src/server/mavlinkmcp.py’.
Key features
Key features of MAVLinkMCP include the implementation of the MCP protocol for standardized communication, integration with MAVLink for drone communication, configurable settings via YAML files, and robust logging capabilities for debugging and monitoring.
Where to use
MAVLinkMCP can be used in various fields such as drone operations, robotics, and any application requiring communication between LLMs and MAVLink-compatible systems.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mavlinkmcp
MAVLinkMCP is a Python-based Model Context Protocol (MCP) server designed for communication between LLM (Large Language Models) and MAVLink-enabled devices, primarily drones.
Use cases
Use cases for MAVLinkMCP include controlling drones for delivery services, conducting aerial surveys, and integrating LLMs for automated decision-making in drone operations.
How to use
To use MAVLinkMCP, clone the repository, install the required dependencies, configure the server settings in the YAML files, and run the MCP server using the command ‘python src/server/mavlinkmcp.py’.
Key features
Key features of MAVLinkMCP include the implementation of the MCP protocol for standardized communication, integration with MAVLink for drone communication, configurable settings via YAML files, and robust logging capabilities for debugging and monitoring.
Where to use
MAVLinkMCP can be used in various fields such as drone operations, robotics, and any application requiring communication between LLMs and MAVLink-compatible systems.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
MAVLink MCP Server
This repository contains a Python-based Model Context Protocol (MCP) server for interacting with MAVLink-enabled devices, such as drones running PX4 software.
Prerequisites
- Python 3.10 or higher
Installation
-
Clone the repository:
git clone https://github.com/yourusername/MAVLinkMCP.git cd MAVLinkMCP -
Install dependencies:
pip install -r requirements.txt
Usage
Run the MCP server with the following command:
python src/server/mavlinkmcp.py
Alternatively, you can run the server using uv run:
uv run src/server/mavlinkmcp.py
Example agent usage
An example client is implemented in example_agent.py using the fastagent library. This demonstrates how to create an AI agent that interacts with the MCP server and supports human input for controlling a drone.
Export the OpenAI key before running it.
Contributing
Contributions are welcome! Please fork the repository and submit a pull request.
License
This project is licensed under the MIT License. See the LICENSE file for details.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
