What Python and dependencies are required?
Python 3.8 or later, with FastAPI, Uvicorn, and other dependencies listed in `requirements.txt`.
@MCP-Mirror
基本情報
Mirror of
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": {
"DMontgomery40_mcp-local-server": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
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。
BirdNet-Pi MCP Server is a Python-based Model Context Protocol server that integrates with BirdNet-Pi to provide bird detection data retrieval, statistics, audio recording access, and report generation. It is designed for users who want to programmatically access BirdNet‑Pi detection data via a REST API.
Install dependencies from requirements.txt, set environment variables for the detection file, audio, and report directories, and run python server.py to start the server on http://localhost:8000. Use the /functions endpoint to list available functions and /invoke to call functions such as getBirdDetections and generateDetectionReport.
Python 3.8 or later, with FastAPI, Uvicorn, and other dependencies listed in `requirements.txt`.
Configuration is done via environment variables: `BIRDNET_DETECTIONS_FILE` (default `data/detections.json`), `BIRDNET_AUDIO_DIR` (default `data/audio`), and `BIRDNET_REPORT_DIR` (default `data/reports`).
Run `python server.py` from the project directory; the server runs on `http://localhost:8000

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