# PlantOntology

> Use this tool when you need to find compatible plants for gardening or landscape design, or to determine the best plants for a specific climate. PlantOntology enables querying a plant knowledge graph via natural language to retrieve recommendations for companion planting, climate suitability, and landscape design. It accepts natural language inputs and outputs personalized plant recommendations, making it ideal for gardeners, landscapers, and environmental planners seeking data-driven advice.

Canonical page: https://skillsregistry.net/skills/alexai-mcp-plantontology  
JSON: https://api.skillsregistry.net/v1/skills/alexai-mcp-plantontology

## Description

Enables querying a plant knowledge graph for companion planting, climate suitability, and landscape design recommendations via natural language.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vb45ovfsvp)
- **Repository:** <https://github.com/AlexAI-MCP/PlantOntology>

## 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": "alexai-mcp-plantontology"
    }
  }
}
```

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