# cakesmash-mcp

> Use this tool when you need to generate scripts and diagnostic frameworks for cosmetic dental, medical spa, and plastic surgery practices. It solves problems related to content creation and practice optimization by providing reel scripts, hooks, and the P.U.L.S.E. diagnostic framework. It takes inputs such as niche and practice type, and outputs full reel scripts, hook examples, and diagnostic frameworks to help practices improve their marketing and revenue strategies.

Canonical page: https://skillsregistry.net/skills/kylecassie-cakesmash-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kylecassie-cakesmash-mcp

## Description

Reel scripts, hooks, and the **P.U.L.S.E.™** practice diagnostic for cosmetic dental, medical spa, and plastic surgery practices.

## Tools

- **`get_reel_script_sample(niche, angle?)`** — Returns one full reel script (Hook + Body + CTA + Format Note).
- **`get_hook_examples(niche, count)`** — Returns 1–5 hooks with framework explanation.
- **`get_pulse_diagnostic()`** — Returns the P.U.L.S.E. five-phase framework (Positioning, Uniqueness, Local intelligence, Scripting, Experience) plus a 5-question self-diagnostic.
- **`find_pack(practice_type)`** — Fuzzy-matches a practice description to the right Cakesmash niche pack.

## Niches

`cosmetic-dental` · `med-spa` · `plastic-surgery`

90 brain-trust-passed scripts loaded at startup. No auth required. Returns full creative plus a direct path to the Cakesmash Media storefront.

Built by [Cakesmash Media](https://cakesmashmedia.com) — Revenue Architecture for elite medical practices.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/kylecassie/cakesmash-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": "kylecassie-cakesmash-mcp"
    }
  }
}
```

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

---
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