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Identifies biological species, returning Latin names with confidence scores.
About
Identifies biological species, returning Latin names with confidence scores.
Security Report
Valid MCP server (2 strong, 3 medium validity signals). 2 known CVEs in dependencies (0 critical, 2 high severity) Package registry verified. Imported from the Official MCP Registry.
3 files analyzed · 3 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
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This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-fonkychen-nature-vision-mcp": {
"args": [
"-y",
"@fonkychen/nature-vision-mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub 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
npm install
**Configure in your MCP client:**
{
"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"
npx nature-vision-mcp
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