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Species Identification Mcp

Species Identification Mcp

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github.com/fonkychenScience & Education0Updated 41w ago
Repository

About Species Identification Mcp

Species Identification Mcp is a stdio-based MCP server that identifies biological species in images using the Nature Vision API. It returns Latin scientific names and confidence scores for LLM-based workflows.

Key features

  1. 01Identify species from images
  2. 02Return Latin scientific names
  3. 03Provide confidence scores
  4. 04Support eight biological categories
  5. 05Run through npx

Use cases

  1. 01Identify a plant or animal in a photo
  2. 02Classify fungi or insects in an image

MCP support

Exposes image-based species identification to MCP clients as a stdio server. It uses the Nature Vision API and requires an API key set through an environment variable.

#species#vision

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "nature-vision": {
      "command": "npx",
      "args": [
        "-y",
        "@fonkychen/nature-vision-mcp"
      ]
    }
  }
}
Run commandnpx -y @fonkychen/nature-vision-mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@fonkychen/nature-vision-mcp0.1.2

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project 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

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.