What runtime does Markdown2pdf require?
It runs via `npx`, so Node.js is required on the system.
@Serendipity-AI
基本信息
Agents speak Markdown. Humans prefer PDF. We bridge the gap for the final stage of your agentic workflow. No sign-ups, no credit cards, just sats for bytes. See https://markdown2pdf.ai for more.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"markdown2pdf": {
"command": "npx",
"args": [
"@serendipityai/markdown2pdf-mcp"
],
"cwd": "~"
}
}
}Convert markdown to PDF, and pay with Lightning
Markdown2pdf is an MCP server that converts Markdown documents into high‑quality, print‑ready PDFs using a LaTeX engine. It is designed for AI agents (e.g., Claude Desktop) to produce polished PDF output as the final step in an agentic workflow.
Add the server configuration to your Claude Desktop settings file using the npx command: "command": "npx", "args": ["@serendipityai/markdown2pdf-mcp"]. After configuration, ask Claude to generate markdown and then create a PDF from it.
npx command.It runs via `npx`, so Node.js is required on the system.
Add the `"mcpServers"` block shown in the Quickstart section to your Claude Desktop configuration file.
The service uses a pay‑as‑you‑go model with no sign‑ups or credit cards; you pay in “sats for bytes” (satoshis per byte).
Full documentation is available at [markdown2pdf.ai](https://markdown2pdf.ai).
The server uses the standard MCP stdio transport, launched via `npx`.
ArduPilotドローンをAIエージェントから操作するMCPサーバーです。
An MCP server allowing AI assistants to use a Neo4j knowledge graph as their primary, dynamic instruction manual and long term project memory with adaptive templating and autonomous tool development tools.
This project demonstrates a decoupled real-time agent architecture that connects LangGraph agents to remote tools served by custom MCP (Modular Command Protocol) servers. The architecture enables a flexible and scalable multi-agent system where each tool can be hosted independent
MCP server that gives Claude persistent project memory — roadmap, session history, and codebase context. Type continue and Claude picks up exactly where you left off
A suite of Model Context Protocol (MCP) servers designed to enhance AI agent capabilities. Provides tools for media search/understanding (images, video), web information retrieval, PDF generation, and PowerPoint presentation creation, enabling agents to interact with diverse data
评论