io.github.fonkychen/nature-vision-mcp
Identifies biological species, returning Latin names with confidence scores.
Open source Open in the app JSON README (API)
About
Identifies biological species, returning Latin names with confidence scores.
Details
- Kind
- MCP servers
- Topic
- No topic detected
- Publisher
- fonkychen
- Origin
- official
- Category
- ferramentas
- Transport
- local
- Version
- 0.1.2
- Last push
- 2026-01-17T07:22:12Z
- Repository state
- ativo
- Language
- JavaScript
- Added
- 2026-08-29 03:02:48
- Updated
- 2026-08-29 03:02:48
- Origin id
io.github.fonkychen/nature-vision-mcp
README
\# Nature Vision MCP Server
An \*\*MCP (Model Context Protocol) server\*\* that identifies biological species from images using the \*\*Nature Vision API\*\*, returning Latin names with confidence scores.
This server enables LLMs (such as Claude) to recognize species and enrich responses with biological knowledge.
---
\## Features
\- 🌿 Identify species from images (plants, animals, fungi, insects, etc.)
\- 🧬 Returns \*\*Latin scientific names\*\* with confidence scores
\- 🧠 Designed for \*\*LLM tool usage\*\* via Model Context Protocol (MCP)
\- 🔌 Simple stdio-based MCP server
\- 🚀 Easy to run with `npx`
\- 🔐 API key via environment variables
---
\## Supported Categories
\- `plant`
\- `bug`
\- `bird`
\- `mammal`
\- `reptile`
\- `amphibian`
\- `mollusc`
\- `fungi`
---
\## Installation
```bash
npm install
```
\*\*Configure in your MCP client:\*\*
```json
{
"mcp.servers": {
"nature-vision": {
"command": "npx",
"args": ["-y", "nature-vision-mcp"],
"env": {
"NATURE_VISION_API_KEY": "app-xxx"
}
}
}
}
```
For now, you can use token: app-dummy-token-2026, this will allow you request once per minute.
```
"NATURE_VISION_API_KEY": "app-dummy-token-2026"
```
```bash
npx nature-vision-mcp