# plantnet-mcp

> plantnet-mcp — orhavraperry-plantnet-mcp. Use this tool when you need to identify plant species using image recognition or solve botanical classification problems. The plantnet-mcp tool provides a server for the Pl@ntNet API, accepting image inputs and returning identified plant species as output. It is ideal for use cases involving automated plant identification, such as botanical research or gardening applications.

Canonical page: https://skillsregistry.net/skills/orhavraperry-plantnet-mcp  
JSON: https://api.skillsregistry.net/v1/skills/orhavraperry-plantnet-mcp

## Description

MCP server for the Pl@ntNet plant identification API

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/OrHavraPerry/plantnet-mcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "orhavraperry-plantnet-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/orhavraperry-plantnet-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/orhavraperry-plantnet-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt