Nature Vision Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Nature Vision Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
\# 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~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.