BirdNet-Pi MCP Server

@MCP-Mirror

BirdNet-Pi MCP Server について

Mirror of

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": {
    "DMontgomery40_mcp-local-server": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

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 BirdNet-Pi MCP Server?

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.

How to use BirdNet-Pi MCP Server?

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.

Key features of BirdNet-Pi MCP Server

Bird detection data retrieval with date and species filtering
Detection statistics and analysis
Audio recording access
Daily activity patterns
Report generation (HTML or JSON)

Use cases of BirdNet-Pi MCP Server

Extract bird detection records filtered by date range and species
Analyze detection statistics over daily, weekly, monthly, or all‑time periods
Download audio recordings of detected birds
Visualize daily bird activity patterns for a specific date
Generate detection reports in HTML or JSON format

FAQ from BirdNet-Pi MCP Server

What Python and dependencies are required?

Python 3.8 or later, with FastAPI, Uvicorn, and other dependencies listed in requirements.txt.

How is the server configured?

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).

How do I start the BirdNet-Pi MCP Server?

Run python server.py from the project directory; the server runs on `http://localhost:8000

よくある質問

What Python and dependencies are required?

Python 3.8 or later, with FastAPI, Uvicorn, and other dependencies listed in `requirements.txt`.

How is the server configured?

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`).

How do I start the BirdNet-Pi MCP Server?

Run `python server.py` from the project directory; the server runs on `http://localhost:8000

基本情報

カテゴリ

その他

トランスポート

stdio

作者

MCP-Mirror

「その他」の他のコンテンツ

Production-ready MCP integrations for AI applications

Klavis-AI

Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale

5.8K

IDA Pro MCP

mrexodia

AI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP.

9.9K

Peekaboo MCP – lightning-fast macOS screenshots for AI agents

steipete

Peekaboo is a macOS CLI & optional MCP server that enables AI agents to capture screenshots of applications, or the entire system, with optional visual question answering through local or remote AI models.

4.8K