# Whimsical

> Use this tool when you need to generate complex diagrams programmatically, such as system architecture diagrams, and integrate them into your workflow through Whimsical's API. It takes Mermaid markup as input and returns a Whimsical diagram URL and a base64 encoded image, enabling iterative refinement. Ideal for use cases requiring automated diagram creation, such as technical documentation and system design.

Canonical page: https://skillsregistry.net/skills/brockreece-whimsical  
JSON: https://api.skillsregistry.net/v1/skills/brockreece-whimsical

## Description

This MCP server enables the creation of Whimsical diagrams programmatically through integration with Whimsical's API. It allows AI assistants to generate diagrams from Mermaid markup, returning both the Whimsical diagram URL and a base64 encoded image for iterative refinement. The server is particularly useful for creating complex system architecture diagrams, as demonstrated by the included example of the MCP architecture itself.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/brockreece-whimsical)
- **Repository:** <https://github.com/brockreece/whimsical-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": "brockreece-whimsical"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/brockreece-whimsical` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/brockreece-whimsical/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