# monosketch-mcp

> Use this tool when you need to generate ASCII diagrams with customized styles and shapes, or create interactive text-based user interfaces with stateful canvas operations. It solves problems such as creating visual representations of data or systems using Unicode box-drawing characters, and supports inputs like shape types and style customizations, producing outputs like beautiful ASCII diagrams. Ideal for use cases where a simple, text-based visualization is required, such as in terminal-based applications or plain text documentation.

Canonical page: https://skillsregistry.net/skills/supersterling-monosketch-mcp  
JSON: https://api.skillsregistry.net/v1/skills/supersterling-monosketch-mcp

## Description

An MCP server that enables AI agents to create beautiful ASCII diagrams using Unicode box-drawing characters, with support for stateful canvas operations, multiple shape types, and style customization.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x6iorvq43e)
- **Repository:** <https://github.com/supersterling/monosketch-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": "supersterling-monosketch-mcp"
    }
  }
}
```

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