Document Tools
Convert a Markdown slide deck (Remark/Marp style) into a PDF
Call this tool from your code in three languages.
curl -X POST 'https://api.elysiatools.com/en/api/tools/md-slide-deck-to-pdf' \
-H 'Content-Type: application/json' \
-d '{"markdown":"# Slide One\n\n- Point A\n\n---\n\n## Slide Two\n\nSummary","theme":"ink","slideSize":"16:9","baseFontSize":20,"showSlideNumber":true,"printBackground":true,"waitUntil":"networkidle0","waitTime":0}'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST https://api.elysiatools.com/en/api/tools/md-slide-deck-to-pdf| Name | Type | Required | Description |
|---|---|---|---|
| markdown | textarea | Yes | — |
| theme | select | No | — |
| slideSize | select | No | — |
| baseFontSize | number | No | — |
| showSlideNumber | checkbox | No | — |
| printBackground |
Add this tool to your Model Context Protocol server so AI agents can list and call it.
Add this block to your MCP client configuration:
{
"mcpServers": {
"elysiatools-md-slide-deck-to-pdf": {
"name": "md-slide-deck-to-pdf",
"description": "Convert a Markdown slide deck (Remark/Marp style) into a PDF",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=md-slide-deck-to-pdf",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}After connecting to the SSE endpoint, list the exposed tools:
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}Invoke the tool by its id, passing arguments built from its parameters:
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "md-slide-deck-to-pdf",
"arguments": {
"markdown": "# Slide One\n\n- Point A\n\n---\n\n## Slide Two\n\nSummary",
"theme": "ink",
"slideSize": "16:9",
"baseFontSize": 20,
"showSlideNumber": true,
"printBackground": true,
"waitUntil": "networkidle0",
"waitTime": 0
}
}
}Questions or issues? Contact [email protected]
| checkbox |
| No |
| — |
| waitUntil | select | No | — |
| waitTime | number | No | — |
File result
{
"filePath": "/public/processing/randomid.ext",
"fileName": "output.ext",
"contentType": "application/octet-stream",
"size": 1024,
"metadata": {
"key": "value"
},
"error": "Error message (optional)",
"message": "Notification message (optional)"
}