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@slidemaster/mcp-server

MCP server for SlideMaster - create AI presentation videos from Claude Desktop

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@slidemaster/mcp-server

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MCP (Model Context Protocol) Server for the SlideMaster Public API. This server exposes 20+ tools that let any MCP-compatible AI assistant create AI-powered presentation videos from a simple topic.

5-Minute Quick Start

Step 1: Get an API Key

  • Go to slidemaster.tw and sign in with Google
  • Click your avatar (top right) → Settings
  • Navigate to API Keys
  • Click Generate Key — copy the sm_live_... key

Step 2: Configure Your AI Client

Claude Desktop — add to claude_desktop_config.json:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "slidemaster": {
      "command": "npx",
      "args": ["-y", "@slidemaster/mcp-server"],
      "env": {
        "SLIDEMASTER_API_KEY": "sm_live_your_key_here"
      }
    }
  }
}

Step 3: Restart and Go

Restart your AI client. Then just say: "Make a 5-slide presentation about [your topic]"

Workflow

"Make slides about machine learning"
         │
         ▼
┌─────────────────┐
│ generate_outline │ ← Generates outline + auto-creates project
│                  │   Returns: project_id, slides array
└────────┬────────┘
         ▼
┌─────────────────┐
│  render_slides   │ ← Generates AI images for each slide
│                  │   Costs: 140 credits/slide (2K)
│                  │   Poll check_status until status="parsed"
└────────┬────────┘
         ▼
┌───────────────────────┐
│ batch_generate_scripts │ ← Generates narration scripts (optional)
└────────┬──────────────┘
         ▼
┌─────────────────┐
│  generate_tts    │ ← Text-to-speech audio (optional)
│                  │   Costs: 16 credits/slide
└────────┬────────┘
         ▼
┌─────────────────┐
│ generate_video   │ ← Compile final MP4 (optional)
│                  │   Costs: 80 credits/project
│                  │   Poll check_status until status="video_completed"
└────────┬────────┘
         ▼
┌─────────────────┐
│  export_pdf      │ ← Download as PDF (pdf_url field)
│  export_pptx     │ ← Download as PPTX (pptx_url field)
│  export_project  │ ← Get all download URLs
└─────────────────┘

Shortcut: Use topic_to_video to run the entire pipeline in one call.

Tip: generate_outline automatically creates a project — you do NOT need to call create_project separately.

Credits Reference

OperationCost per unit
Render slide (1K)42 credits
Render slide (2K)140 credits
Render slide (4K)250 credits
TTS per slide16 credits
Video per project80 credits

Quick math: 2,000 credits ≈ 14 slides at 2K (slides only). A full 25-slide course with video ≈ 3,980 credits.

Call get_credit_balance before large projects to check remaining credits.

Status Values

When polling check_status, the status field means:

StatusMeaningNext step
processingSlides are being renderedPoll again in 5-10 seconds
parsedSlides ready, check scripts/audioCall batch_generate_scripts or generate_tts
generating_videoVideo being compiledPoll again in 5-10 seconds
video_completedVideo readyCall export_project for download URLs
video_failedVideo generation failedCall generate_video to retry

Style Images

To apply a visual style, use analyze_style_image with a publicly accessible image URL (e.g. Imgur, Cloudinary). Base64 is not supported. The returned style_guide object can be passed to render_slides.

Tools (20+ total)

Content Creation

ToolDescription
generate_outlineGenerate outline from topic. Auto-creates project — returns project_id
create_projectCreate an empty project (usually not needed — use generate_outline)
render_slidesGenerate AI slide images. Requires slides array with title + description
analyze_style_imageAnalyze a style reference image (public URL required)
upload_initInitialize PPTX/PDF file upload
upload_completeComplete a file upload

Content Processing

ToolDescription
generate_scriptGenerate narration script for one slide
batch_generate_scriptsGenerate scripts for all slides at once
generate_ttsGenerate text-to-speech audio
generate_videoCompile slides + audio into MP4 video

Management

ToolDescription
list_projectsList all projects
get_projectGet project details
update_projectUpdate project settings (TTS voice, language, etc.)
delete_projectPermanently delete a project
list_slidesList slides in a project
update_slideEdit slide title or script
delete_slideDelete a slide

Export

ToolDescription
export_pdfExport as PDF. Returns pdf_url (signed download link)
export_pptxExport as PPTX. Returns pptx_url (signed download link)
export_projectGet all download URLs (slides, audio, video)
export_evercamExport as offline HTML5 package
evercam_statusPoll EverCam export progress

Utilities

ToolDescription
check_statusPoll processing progress
get_credit_balanceCheck remaining credits with cost breakdown
get_project_contextFull project snapshot in one call
list_voicesBrowse available TTS voices
topic_to_videoOne-click: topic → finished presentation/video

Example Conversation

User: Create a 5-slide presentation about renewable energy in Taiwan

Claude: I'll create that for you.

[Calls generate_outline with topic="renewable energy in Taiwan", slides_count=5]
→ Returns project_id and slides array

[Calls render_slides with the project_id and slides]
→ Rendering started, polling...

[Calls check_status — status: "parsed", all slides rendered]

[Calls export_pdf]
→ Returns pdf_url

Here's your presentation! Download the PDF: [link]

Local Development

npm install
npm run build
SLIDEMASTER_API_KEY=your-key npm start

Environment Variables

VariableRequiredDescription
SLIDEMASTER_API_KEYYesYour SlideMaster API key (sm_live_...)
SLIDEMASTER_API_BASENoOverride API base URL (default: https://api.slidemaster.tw/api/v1/public)

API Documentation

Full API docs: slidemaster.tw/api-docs

License

MIT

Keywords

mcp

FAQs

Package last updated on 09 Mar 2026

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