About PDFOven
Generate PDFs and images from HTML, Markdown, URLs or JSON templates
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
Endpoint
https://pdfoven.com/mcpCopy install command
Claude CodeTerminal
claude mcp add --transport http com-pdfoven-pdfoven https://pdfoven.com/mcpCursor.cursor/mcp.json
{"mcpServers":{"com-pdfoven-pdfoven":{"type":"http","url":"https://pdfoven.com/mcp"}}}Open in CursorVS Code.vscode/mcp.json
{"servers":{"com-pdfoven-pdfoven":{"type":"http","url":"https://pdfoven.com/mcp"}}}Open in VS CodeClaude Desktopclaude_desktop_config.json
{"mcpServers":{"com-pdfoven-pdfoven":{"type":"http","url":"https://pdfoven.com/mcp"}}}Windsurf~/.codeium/windsurf/mcp_config.json
{"mcpServers":{"com-pdfoven-pdfoven":{"serverUrl":"https://pdfoven.com/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
All endpoints
Streamable HTTP
https://pdfoven.com/mcpAuth requiredTools
7| Parameter | Type | Required | Description |
|---|---|---|---|
| css | string | No | Extra CSS to apply. |
| url | string | No | Public http(s) URL to capture. |
| data | object | No | JSON data for template or template_id. |
| html | string | No | HTML document or fragment to render. |
| options | object | No | |
| options.format | enum | No | A3 | A4 | A5 | Letter | Legal | Tabloid |
| options.margin | string | No | e.g. 0.5in, 12mm, 20px |
| options.landscape | boolean | No | |
| options.print_background | boolean | No | |
| markdown | string | No | Markdown to render. |
| template | string | No | Inline Handlebars HTML template, filled with `data`. |
| template_id | string | No | ID of a saved template (from list_templates), filled with `data`. |
Details
The maintainer has not added details yet. Check the README in the repository.
Comments
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New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.