io.github.Headdao/slidemaster-mcp
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.
README
<!-- mcp-name: io.github.Headdao/slidemaster-mcp -->
@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.
Local Development
# Install dependencies
npm install
# Build TypeScript
npm run build
# Run the server (stdio transport)
SLIDEMASTER_API_KEY=your-key npm start
Environment Variables
| Variable | Required | Description |
|---|---|---|
SLIDEMASTER_API_KEY |
Yes | Your SlideMaster API key |
SLIDEMASTER_API_BASE |
No | Override API base URL (default: https://api.slidemaster.tw/api/v1/public) |
Tools (20 total)
Content Creation
| Tool | Method | Endpoint | Description |
|---|---|---|---|
generate_outline |
POST | /outlines/generate |
Generate a presentation outline from a topic |
create_project |
POST | /projects |
Create a new project |
upload_init |
POST | /upload/init |
Initialize a file upload session (PPTX/PDF) |
upload_complete |
POST | /upload/complete |
Mark an upload as complete |
render_slides |
POST | /slides/render |
Render AI-generated slide images |
Content Processing
| Tool | Method | Endpoint | Description |
|---|---|---|---|
generate_script |
POST | /scripts/generate |
Generate a narration script for one slide |
batch_generate_scripts |
POST | /scripts/batch-generate |
Generate scripts for all slides in a project |
generate_tts |
POST | /tts/generate |
Generate text-to-speech audio |
generate_video |
POST | /video/generate |
Compile the final video |
Management
| Tool | Method | Endpoint | Description |
|---|---|---|---|
list_projects |
GET | /projects |
List all projects (paginated) |
get_project |
GET | /projects/{id} |
Get project details |
update_project |
PATCH | /projects/{id} |
Update project properties |
delete_project |
DELETE | /projects/{id} |
Delete a project |
list_slides |
GET | /projects/{id}/slides |
List slides in a project |
update_slide |
PATCH | /slides/{id} |
Update a slide's title or script |
delete_slide |
DELETE | /slides/{id} |
Delete a slide |
Query & Export
| Tool | Method | Endpoint | Description |
|---|---|---|---|
check_status |
GET | /projects/{id}/status |
Check project processing status |
export_project |
GET | /projects/{id}/export |
Export project with download URLs |
list_voices |
GET | /voices |
List available TTS voices |
Automation
| Tool | Method | Endpoint | Description |
|---|---|---|---|
topic_to_video |
POST | /pipelines/topic-to-video |
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
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。