# disease-detection-mcp-server

> Use this tool when you need to detect plant diseases using artificial intelligence. It solves problems related to plant health monitoring and disease identification, providing outputs such as disease classification and severity assessment from image inputs. Ideal for use in agricultural settings, research, or environmental monitoring contexts where plant health diagnosis is crucial.

Canonical page: https://skillsregistry.net/skills/hydrotekfarm2023-disease-detection-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/hydrotekfarm2023-disease-detection-mcp-server

## Description

Enables plant disease detection through an MCP server powered by AI models, supporting deployment on Railway or local Claude Desktop.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/epynvit7y1)
- **Repository:** <https://github.com/HydroTekFarm2023/disease-detection-mcp-server>

## 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": "hydrotekfarm2023-disease-detection-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hydrotekfarm2023-disease-detection-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hydrotekfarm2023-disease-detection-mcp-server/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