Nature Vision

MCP server that identifies images to Latin names using the Nature Vision API with confidence scores for LLM integration.

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GitHub Stars

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Language

5 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "fonkychen-nature-vision-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "nature-vision-mcp"
      ],
      "env": {
        "NATURE_VISION_API_KEY": "app-xxx"
      }
    }
  }
}

You control a lightweight MCP server that uses the Nature Vision API to identify biological species from images. It returns Latin scientific names along with confidence scores, making it easy for your language models to enrich responses with accurate taxonomy and related biology knowledge.

How to use

Use this MCP server as a tool in your MCP client workflow. You can feed images to the server, which will respond with the identified species in Latin names and a confidence score for each match. This is ideal for enriching responses from language models with scientific names and contextual biology information.

How to install

Prerequisites: ensure you have Node.js and npm installed on your system.

npm install

{
  "mcp.servers": {
    "nature-vision": {
      "command": "npx",
      "args": ["-y", "nature-vision-mcp"],
      "env": {
        "NATURE_VISION_API_KEY": "app-xxx"
      }
    }
  }
}

npx nature-vision-mcp

Configuration and running

You configure the MCP client to point at this server by providing the following config snippet in your MCP client settings. It defines a single MCP server named nature-vision that runs locally via npx and passes along your API key to the Nature Vision service.

{
  "mcp.servers": {
    "nature-vision": {
      "command": "npx",
      "args": ["-y", "nature-vision-mcp"],
      "env": {
        "NATURE_VISION_API_KEY": "app-xxx"
      }
    }
  }
}

Notes and tips

The server runs as a simple stdio MCP service, so you can start it alongside other MCP tools without deploying a separate HTTP service.
Keep your API key secure. Do not commit it to public config files. Use environment variable management or secret stores in your deployment workflow.

Available tools

identify_species

Identify species from images and return Latin names with confidence scores using the Nature Vision API.

get_confidence

Provide confidence values for each identified species to support ranking and decision making in MCP-enabled workflows.