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npm slideshot-mcpstdioMITupdated 4mo ago

Convert AI-generated HTML carousels into high-res PNG, WebP, PDF, and PPTX — via CLI, Web App, MCP Server, or REST API.

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O que dá para fazer com slideshot?

slideshot

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Convert AI-generated HTML carousels into high-res PNG, WebP, PDF, and PPTX — via CLI, Web App, MCP Server, or REST API.

Web App · npm CLI · npm MCP · API Spec

Architecture

slideshot/
  packages/
    cli/           ← Core Puppeteer rendering engine + CLI
    mcp-server/    ← MCP stdio server for AI tools
    webapp/        ← Next.js web app with live preview
  prompts/
    generic.md           ← Clean minimal
    branded.md           ← Ketan Slides design system
    instagram-carousel.md ← Bold vibrant IG style
    infographic.md       ← Data-heavy charts
    pitch-deck.md        ← Professional presentations
    dark-modern.md       ← Neon glassmorphism
    editorial.md         ← Magazine serif

Quick Start

CLI

npx slideshot ./my-carousel.html --formats png,webp,pdf --scale 4

Options:

Flag Default Description
-s, --selector .slide CSS selector for slide elements
-W, --width 540 Slide width (CSS px)
-H, --height 675 Slide height (CSS px)
--scale 4 Device scale (4x = 2160x2700)
-f, --formats png,webp,pdf Output formats (png, webp, pdf, pptx)
-q, --quality 95 WebP quality (0-100)
-o, --out ./slides Output directory

Web App

Live: slideshot.vercel.app

Or run locally:

cd packages/webapp && npm install && npm run dev

Open http://localhost:3000 — paste HTML, preview, export.

MCP Server

Add to Claude Desktop or Cursor config:

{
  "mcpServers": {
    "slideshot": {
      "command": "npx",
      "args": ["-y", "slideshot-mcp"]
    }
  }
}

Tools:

  • create_slides — guided creation workflow with 7 themes and output presets
  • render_html_to_images — render HTML to PNG/WebP/PDF/PPTX
  • get_slide_prompt — get AI prompt template for any theme variant
  • health_check — verify Puppeteer/Chromium availability

Prompts (7 themes):

  • generic-slides — clean minimal
  • branded-slides — Ketan Slides design system
  • instagram-carousel-slides — bold vibrant IG style
  • infographic-slides — data-heavy charts and stats
  • pitch-deck-slides — professional presentations
  • dark-modern-slides — neon glassmorphism
  • editorial-slides — magazine serif with gold accents

REST API (ChatGPT Actions / OpenWebUI)

The web app exposes an OpenAPI-compatible REST API at https://slideshot.vercel.app.

Endpoints:

Method Path Description
POST /api/render Render HTML slides to PNG/WebP/PDF (returns ZIP)
GET /api/prompt?variant=generic Get AI prompt template
GET /api/openapi.json OpenAPI 3.1.0 spec

Platform support:

Platform Method Setup
Cursor MCP npx slideshot-mcp in .cursor/mcp.json
Claude Desktop MCP npx slideshot-mcp in config
ChatGPT OpenAPI Action Import /api/openapi.json
OpenWebUI OpenAPI Tool Import /api/openapi.json

AI Prompt Templates

7 prompt variants in prompts/ — copy-paste or use via get_slide_prompt tool:

Variant File Style
Generic prompts/generic.md Clean minimal, Inter font
Branded prompts/branded.md Space Mono, teal/coral accents
Instagram prompts/instagram-carousel.md Bold gradients, Poppins
Infographic prompts/infographic.md DM Sans, stat cards
Pitch Deck prompts/pitch-deck.md Professional, KPI cards
Dark Modern prompts/dark-modern.md Neon, glassmorphism
Editorial prompts/editorial.md Playfair Display, gold

Build All

npm install   # from root — installs all workspaces
npm run build # builds cli → mcp-server
cd packages/webapp && npm run build  # builds webapp separately
Surface URL
Web App slideshot.vercel.app
npm CLI npmjs.com/package/slideshot
npm MCP npmjs.com/package/slideshot-mcp
GitHub github.com/06ketan/slideshot
API Spec slideshot.vercel.app/api/openapi.json

License

MIT