This MCP server identifies biological species from images using the Nature Vision API, returning Latin names with confidence scores. It is designed for integration with LLMs to enhance responses with biological knowledge.
From the registry: Identifies biological species, returning Latin names with confidence scores.
Please install the `nature-vision-mcp` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Node.js** — Node.js runtime required for npx (https://nodejs.org/)
- **Nature Vision API key** — Free trial token `app-dummy-token-2026` allows 1 req/min. Real keys available from the provider.
Canonical MCP server config (stdio transport):
- command: `npx`
- args: ["-y","nature-vision-mcp"]
- required environment variables:
- `NATURE_VISION_API_KEY`: Nature Vision API key (example: `<your-nature-vision-api-key>`)
Note: Identify biological species from images (plants, animals, fungi, insects). Returns Latin names with confidence scores.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.NATURE_VISION_API_KEYrequiredAPI key for accessing the Nature Vision APITrending hip-hop artist momentum scores across four cultural dimensions.
Official PostHog MCP Server for product analytics, feature flags, experiments, and more.
Official OpenMetadata MCP: governed context and business semantics for AI assistants and agents.