{
  "markdown": "\\# Nature Vision MCP Server\n\n\n\nAn \\*\\*MCP (Model Context Protocol) server\\*\\* that identifies biological species from images using the \\*\\*Nature Vision API\\*\\*, returning Latin names with confidence scores.  \n\nThis server enables LLMs (such as Claude) to recognize species and enrich responses with biological knowledge.\n\n\n\n---\n\n\n\n\\## Features\n\n\n\n\\- 🌿 Identify species from images (plants, animals, fungi, insects, etc.)\n\n\\- 🧬 Returns \\*\\*Latin scientific names\\*\\* with confidence scores\n\n\\- 🧠 Designed for \\*\\*LLM tool usage\\*\\* via Model Context Protocol (MCP)\n\n\\- 🔌 Simple stdio-based MCP server\n\n\\- 🚀 Easy to run with `npx`\n\n\\- 🔐 API key via environment variables\n\n\n\n---\n\n\n\n\\## Supported Categories\n\n\n\n\\- `plant`\n\n\\- `bug`\n\n\\- `bird`\n\n\\- `mammal`\n\n\\- `reptile`\n\n\\- `amphibian`\n\n\\- `mollusc`\n\n\\- `fungi`\n\n\n\n---\n\n\n\n\\## Installation\n\n\n\n```bash\n\nnpm install \n\n```\n\n\n\n\\*\\*Configure in your MCP client:\\*\\*\n\n```json\n\n{\n  \"mcp.servers\": {\n    \"nature-vision\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"nature-vision-mcp\"],\n      \"env\": {\n        \"NATURE_VISION_API_KEY\": \"app-xxx\"\n      }\n    }\n  }\n}\n\n\n```\n\nFor now, you can use token: app-dummy-token-2026, this will allow you request once per minute. \n```\n\"NATURE_VISION_API_KEY\": \"app-dummy-token-2026\"\n```\n\n\n\n```bash\n\nnpx nature-vision-mcp\n\n\n\n",
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  "sha": "24bd194b8432647678dfcc6561c11470d1ab7b984fcc9eb0770b548ddd406620",
  "repo_slug": "fonkychen/nature-vision-mcp",
  "fonte": "repo",
  "truncated": false,
  "api": "https://agentalog.com/api/listings/mcp_io_github_fonkychen_nature_vision_mcp_34f9b861/readme"
}