# plantcv-mcp

> plantcv-mcp — musharna-plantcv-mcp. Use this tool when you need to analyze plant images and extract phenotypic traits, as it solves problems of inaccurate plant measurements by providing segmentation overlays to validate mask quality, taking in plant images as input and outputting trait measurements and validation overlays. It is ideal for plant biologists and researchers who require reliable and accurate plant phenotyping. This tool is particularly useful in contexts where image-based plant analysis is critical, such as agricultural research and crop monitoring.

Canonical page: https://skillsregistry.net/skills/musharna-plantcv-mcp  
JSON: https://api.skillsregistry.net/v1/skills/musharna-plantcv-mcp

## Description

Enables plant phenotyping via MCP, returning plant trait measurements along with segmentation overlays to validate mask quality, preventing unreliable outputs.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p0ja93815v)
- **Repository:** <https://github.com/musharna/plantcv-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": "musharna-plantcv-mcp"
    }
  }
}
```

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

---
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
