What Python and dependencies are required?
Python 3.8 or later, with FastAPI, Uvicorn, and other dependencies listed in `requirements.txt`.
@MCP-Mirror
基本信息
Mirror of
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"DMontgomery40_mcp-local-server": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
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。
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
Open-source MCP to use Blender with any LLM

Model Context Protocol Servers

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MCP Toolbox for Databases is an open source MCP server for databases.
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