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MAVLink MCP Server

@ion-g-ion

MAVLink MCP Server について

MCP server for LLM to drone communication via MAVLink

基本情報

カテゴリ

その他

ライセンス

MIT

ランタイム

python

トランスポート

stdio

公開者

ion-g-ion

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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?

  1. Clone the repository and install dependencies with pip install -r requirements.txt.
  2. Run the server with python src/server/mavlinkmcp.py or uv run src/server/mavlinkmcp.py.
  3. 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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