Species Identification MCP Server

@fonkychen

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

fonkychen

提交者

Fonky Chen

关于 Species Identification MCP Server

An MCP (Model Context Protocol) server that identifies biological species from images, returning Latin names with confidence scores.

#species#vision

Species Identification MCP Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

Species Identification MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

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.

其他分类下的更多 MCP 服务器

FastMCP v2 🚀

jlowin

🚀 The fast, Pythonic way to build MCP servers and clients.

26.0K

Glasswarp

See and control a real Windows PC you own — from any MCP client, locally or remotely. Observe (UIA + screenshots), click/type/drag/scroll, launch apps, owner Live View. BYOH: your machine, your key.

Volley.sh

Volley

A good sequence diagram can solve almost any communication problem in engineering. Volley lets your agent write them as plain text, with the real request and response payloads on every arrow. It checks its own syntax wi