Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Nature Vision MCP ServerIdentify the species of the bird in this image"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
# 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
**Configure in your MCP client:**
For now, you can use token: app-dummy-token-2026, this will allow you request once per minute.