MAVLink MCP Server

@ion-g-ion

关于 MAVLink MCP Server

MCP server for LLM to drone communication via MAVLink

基本信息

分类

其他

许可证

MIT

运行时

python

传输方式

stdio

发布者

ion-g-ion

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "MAVLinkMCP": {
      "command": "python",
      "args": [
        "src/server/mavlinkmcp.py"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MAVLink MCP Server?

A Python-based Model Context Protocol (MCP) server for interacting with MAVLink-enabled devices, such as drones running PX4 software. It is designed for developers building AI agents that need to communicate with MAVLink systems.

How to use MAVLink MCP Server?

Clone the repository and install dependencies with pip install -r requirements.txt.
Run the server with python src/server/mavlinkmcp.py or uv run src/server/mavlinkmcp.py.
An example client is provided in example_agent.py using the fastagent library, which demonstrates creating an AI agent with human input for drone control.

Key features of MAVLink MCP Server

MCP server for MAVLink‑enabled drone systems
Supports PX4 drone software
Python 3.10+ required
Installable via pip from requirements
Runnable with standard Python or uv run
Example agent using fastagent library included

Use cases of MAVLink MCP Server

Build AI agents that can command and monitor drones
Integrate drone telemetry and control into LLM‑powered applications
Prototype human‑in‑the‑loop drone tasks with agent assistance

FAQ from MAVLink MCP Server

What is the MAVLink MCP Server?

It is an MCP server that allows AI agents to interact with MAVLink devices, particularly drones running PX4.

What are the prerequisites?

Python 3.10 or higher is required.

How do I install the server?

Clone the repository and run pip install -r requirements.txt.

How do I run the server?

Use python src/server/mavlinkmcp.py or uv run src/server/mavlinkmcp.py.

Is there an example of how to use it?

Yes, an example agent is provided in example_agent.py using the fastagent library. You need to export your OpenAI API key before running it.

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