# UML MCP

> Use this tool when you need to generate UML diagrams from natural language inputs, solving problems like visualizing system designs and architectures. It takes PlantUML code as input and outputs PNG or SVG images, supporting various UML chart types with Base64 encoding. Ideal for use cases where automated diagram generation is required, such as software development and system modeling.

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

## Description

Enables AI assistants to generate UML diagrams through natural language by rendering PlantUML code into PNG or SVG images. Supports sequence diagrams, class diagrams, use case diagrams, and other UML chart types with Base64-encoded output.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-04-23

## Source

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

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