# BirdNet-Pi

> Use this tool when you need to integrate bird detection capabilities into your AI applications, such as automated species identification or habitat monitoring. It provides a JSON-RPC interface for retrieving bird detections, statistics, audio recordings, and daily activity data. Ideal for use cases like ecological research, conservation, and citizen science projects, where analyzing bird populations and behaviors is crucial.

Canonical page: https://skillsregistry.net/skills/dmontgomery40-birdnet-pi  
JSON: https://api.skillsregistry.net/v1/skills/dmontgomery40-birdnet-pi

## Description

This BirdNet-Pi MCP server, developed by DMontgomery40, integrates BirdNet-Pi's bird detection capabilities with a FastAPI-based JSON-RPC interface. It provides functions for retrieving bird detections, detection statistics, audio recordings, and daily activity data. The server abstracts BirdNet-Pi's functionality, offering a standardized way for AI assistants to access and analyze bird detection data. By connecting AI systems with BirdNet-Pi's acoustic monitoring capabilities, this implementation enables applications such as automated bird species identification, habitat monitoring, and ecological research. It is particularly useful for ornithologists, conservationists, and citizen scientists who want to leverage AI for analyzing bird populations and behaviors.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dmontgomery40-birdnet-pi)
- **Repository:** <https://github.com/dmontgomery40/mcp-local-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "dmontgomery40-birdnet-pi"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dmontgomery40-birdnet-pi` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dmontgomery40-birdnet-pi/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt