A
licenseNot graded
qualityD
maintenanceA Model Context Protocol server that allows AI assistants to access bird observation data, hotspots, and taxonomy information from eBird.
18 npm
7
MIT
BirdNet-Pi MCP Server
BirdNet-Pi MCP 服务器
用于 BirdNet-Pi 集成的基于 Python 的模型上下文协议 (MCP) 服务器。
特征
通过日期和物种过滤检索鸟类检测数据
检测统计与分析
录音访问
日常活动模式
报告生成
Related MCP server: MCP Boilerplate
要求
Python 3.8+
快速API
优维康
requirements.txt中列出的其他依赖项
安装
克隆存储库：
git clone https://github.com/YourUsername/mcp-server.git
cd mcp-server创建虚拟环境并激活它：
python -m venv venv
source venv/bin/activate # On Windows use: venv\Scripts\activate安装依赖项：
pip install -r requirements.txt设置数据目录：
mkdir -p data/audio data/reports配置
可以使用环境变量来配置服务器：
BIRDNET_DETECTIONS_FILE：检测 JSON 文件的路径（默认值：'data/detections.json'）BIRDNET_AUDIO_DIR：音频文件目录的路径（默认值：'data/audio'）BIRDNET_REPORT_DIR：报告目录的路径（默认值：'data/reports'）
运行服务器
启动服务器：
python server.py服务器将在http://localhost:8000上运行。
API 端点
/functions列出可用函数（GET）/invoke– 调用函数（POST）
可用函数
getBirdDetections获取按日期范围和物种筛选的鸟类检测结果
参数：startDate、endDate、种类（可选）
getDetectionStats获取一段时间内的检测统计数据
参数：period（'day', 'week', 'month', 'all'）、minConfidence（可选）
getAudioRecording获取检测的音频记录
参数：文件名，格式（'base64'或'buffer'）
getDailyActivity获取特定日期的鸟类活动模式
参数：日期、物种（可选）
generateDetectionReport生成检测报告
参数：startDate、endDate、格式（'html' 或 'json'）
目录结构
mcp-server/
├── birdnet/
│ ├── __init__.py
│ ├── config.py
│ ├── functions.py
│ └── utils.py
├── data/
│ ├── audio/
│ └── reports/
├── server.py
├── requirements.txt
└── README.mdThis server cannot be deployed
Maintenance
ActivityInactive
ResponsivenessNo issues
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