# bird-id-mcp

> Use this tool when you need to identify bird species from images, solving problems such as wildlife classification and birdwatching documentation. The bird-id-mcp tool takes images as input and returns the top-5 species matches with confidence levels and Chinese names as output. It is ideal for use cases where visual bird recognition is required, such as nature conservation and ornithology research.

Canonical page: https://skillsregistry.net/skills/hakureirm-bird-id-mcp  
JSON: https://api.skillsregistry.net/v1/skills/hakureirm-bird-id-mcp

## Description

Identifies bird species from images using YOLO detection and ConvNeXt classification, returning top-5 species with confidence and Chinese names.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/un4a9gbw7h)
- **Repository:** <https://github.com/Hakureirm/bird-id-mcp>

## 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": "hakureirm-bird-id-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hakureirm-bird-id-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hakureirm-bird-id-mcp/pull`

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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