Species Identification Mcp
@fonkychen
About Species Identification Mcp
An MCP (Model Context Protocol) server that identifies biological species from images, returning Latin names with confidence scores.
Basic information
Config
No standard config provided
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Overview
What is Species Identification Mcp?
Species Identification Mcp is an MCP (Model Context Protocol) server that identifies biological species from images using the Nature Vision API, returning Latin scientific names with confidence scores. It is designed for LLMs (such as Claude) to recognize species and enrich responses with biological knowledge.
How to use Species Identification Mcp?
Install via npm install, then configure the server in your MCP client using the command npx -y nature-vision-mcp and set the environment variable NATURE_VISION_API_KEY. A dummy token (app-dummy-token-2026) is provided for testing, allowing one request per minute.
Key features of Species Identification Mcp
- Identifies 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 managed via environment variables
Use cases of Species Identification Mcp
- Enabling chatbots to identify plants or animals from uploaded photos
- Enriching LLM responses with accurate biological species information
- Supporting nature education or field research assistants
- Integrating species recognition into automated workflows
FAQ from Species Identification Mcp
What does Species Identification Mcp do?
It uses the Nature Vision API to identify biological species from images and returns the Latin scientific name along with a confidence score.
What information does it return?
The server returns Latin scientific names with confidence scores for each identification.
What categories of species are supported?
Supported categories include plant, bug, bird, mammal, reptile, amphibian, mollusc, and fungi.
Is there a free way to test the server?
Yes, you can use the dummy token app-dummy-token-2026 which allows one request per minute for testing purposes.
How is the server invoked?
The server runs via npx -y nature-vision-mcp and requires the NATURE_VISION_API_KEY environment variable to be set.
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