io.github.Headdao/slidemaster-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@io.github.Headdao/slidemaster-mcpCreate a video about Mars colonization"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
@slidemaster/mcp-server
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.
Quick Start
1. Get an API Key
Sign in to SlideMaster and generate a key at Settings > API Keys.
2. Configure Claude Desktop
Add the following to your 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": "your-api-key-here"
}
}
}
}3. Restart Claude Desktop
After saving the config, restart Claude Desktop. You should see the SlideMaster tools available in the tool picker.
Related MCP server: mcp-ToseaAI
Local Development
# Install dependencies
npm install
# Build TypeScript
npm run build
# Run the server (stdio transport)
SLIDEMASTER_API_KEY=your-key npm startEnvironment Variables
Variable | Required | Description |
| Yes | Your SlideMaster API key |
| No | Override API base URL (default: |
Tools (20 total)
Content Creation
Tool | Method | Endpoint | Description |
| POST |
| Generate a presentation outline from a topic |
| POST |
| Create a new project |
| POST |
| Initialize a file upload session (PPTX/PDF) |
| POST |
| Mark an upload as complete |
| POST |
| Render AI-generated slide images |
Content Processing
Tool | Method | Endpoint | Description |
| POST |
| Generate a narration script for one slide |
| POST |
| Generate scripts for all slides in a project |
| POST |
| Generate text-to-speech audio |
| POST |
| Compile the final video |
Management
Tool | Method | Endpoint | Description |
| GET |
| List all projects (paginated) |
| GET |
| Get project details |
| PATCH |
| Update project properties |
| DELETE |
| Delete a project |
| GET |
| List slides in a project |
| PATCH |
| Update a slide's title or script |
| DELETE |
| Delete a slide |
Query & Export
Tool | Method | Endpoint | Description |
| GET |
| Check project processing status |
| GET |
| Export project with download URLs |
| GET |
| List available TTS voices |
Automation
Tool | Method | Endpoint | Description |
| POST |
| End-to-end: topic to finished video |
Example Conversation
User: Create a 5-slide presentation about renewable energy in Taiwan
Claude: I'll create that presentation for you using SlideMaster.
[Calls generate_outline with topic="renewable energy in Taiwan", slides_count=5]
Here's the outline I generated:
1. Taiwan's Energy Landscape
2. Solar Power Expansion
3. Offshore Wind Development
4. Government Policy & Targets
5. Future Outlook
Let me now create the project and render the slides.
[Calls create_project with title="Renewable Energy in Taiwan"]
[Calls render_slides with the outline data]
[Calls batch_generate_scripts]
[Calls generate_tts]
[Calls generate_video]
Your video is being generated! Let me check the status.
[Calls check_status]
The video is ready! Here are your download links:
[Calls export_project]
- Video: https://...
- Slides: https://...Alternatively, use the one-shot pipeline:
User: Make me a video about machine learning basics
Claude: I'll use the topic-to-video pipeline to handle everything in one step.
[Calls topic_to_video with topic="machine learning basics"]
[Polls check_status until complete]
[Calls export_project for download links]
Your video is ready!API Documentation
Full API documentation is available at https://slidemaster.tw/api-docs.
License
MIT
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Maintenance
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