# io.github.fonkychen/nature-vision-mcp

> Use this tool when you need to identify biological species from images or descriptions, solving problems such as species classification and discovery. It takes in images or descriptive data and outputs Latin names of species with corresponding confidence scores. Ideal for use cases in ecology, biology, and conservation, where accurate species identification is crucial.

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

## Description

Identifies biological species, returning Latin names with confidence scores.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.1.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.fonkychen%2Fnature-vision-mcp)
- **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": "io-github-fonkychen-nature-vision-mcp"
    }
  }
}
```

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