Nature Vision Mcp

io.github.fonkychenPublished by GitHub account fonkychenv0.1.2Updated Oct 24, 2026

Identifies biological species, returning Latin names with confidence scores.

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Overview

AI-generated overview

A local MCP server that lets an assistant identify biological species from images via the Nature Vision API, returning Latin names with confidence scores.

What you can do
Identify species from images across categories such as plants, bugs, birds, mammals, reptiles, amphibians, molluscs and fungi, returning Latin scientific names with confidence scores. Enrich answers with biological knowledge based on the identification result.
When to use it
Useful when you want an assistant to name a plant, animal, insect or fungus from a photo and get a scientific name with a confidence score, for example in nature observation or field notes.
Requirements
Runs locally over stdio, typically launched with npx, so Node.js is needed. Requires a Nature Vision API key supplied through the NATURE_VISION_API_KEY environment variable. Network access to the Nature Vision API is implied.
Before you install
The README publishes a shared dummy token that is limited to one request per minute; use your own API key for real use. Images you submit are sent to the third-party Nature Vision API. Identifications are confidence-scored suggestions, not verified determinations.

Installation

In SourceWeft

  1. Open Nature Vision Mcp in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

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

Source: README.md at commit 4aa7702

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v0.1.2LatestSep 16, 2026

Score

40% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

    Declare a license in the repository or the registry entry.