# UMLmcp

> Use this tool when you need to generate UML Class and Sequence diagrams from domain JSON input or free text descriptions. It solves the problem of manually creating structured UML diagrams, saving time and effort. With UMLmcp, users can input JSON data or text and output PlantUML code for visualization and documentation purposes.

Canonical page: https://skillsregistry.net/skills/cool-coder174-uml-mcp  
JSON: https://api.skillsregistry.net/v1/skills/cool-coder174-uml-mcp

## Description

Enables users to generate PlantUML code for UML Class and Sequence diagrams using Google Gemini AI. Supports both domain JSON input and free text descriptions to create structured UML diagrams.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ezwrqx2shd)
- **Repository:** <https://github.com/Cool-Coder174/UML-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": "cool-coder174-uml-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cool-coder174-uml-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cool-coder174-uml-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