# Nature Vision

> Use this tool when you need to identify biological species from images, as it solves problems in wildlife recognition, conservation, and research by providing scientific Latin nomenclature with confidence scores. It takes image inputs and returns species identifications across multiple categories, including plants, animals, and fungi. Ideal for use in applications requiring accurate species recognition, such as environmental monitoring, biology research, or wildlife conservation efforts.

Canonical page: https://skillsregistry.net/skills/fonkychen-nature-vision  
JSON: https://api.skillsregistry.net/v1/skills/fonkychen-nature-vision

## Description

Identifies biological species from images using the Nature Vision API. Supports recognition across multiple categories including plants, bugs, birds, mammals, reptiles, amphibians, molluscs, and fungi, returning scientific Latin nomenclature with confidence scores for each identification.

## Trust

- **Trust score (0–1):** 1.00
- **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/fonkychen-nature-vision)
- **Repository:** <https://github.com/fonkychen/nature-vision-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": "fonkychen-nature-vision"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fonkychen-nature-vision` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fonkychen-nature-vision/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