Best used with an AI agent

40+ live apps, open data APIs, MCP servers, and 200+ guides - more than anyone wants to click through. Point your AI here and it reads the whole map and does the work: finds the tool, pulls the data, runs the analysis, and hands you the links.

Here for the open-source code? Your agent finds the right repo for you - and can even clone and deploy it.

Prefer to explore on your own? Go right ahead.

Paste this to Claude Code, Codex, or any AI agent:
Go to tigzig.com and read tigzig.com/llms.txt. It is a practitioner toolkit - 40+ analytics apps, open no-auth data APIs, MCP servers, open-source repos (github.com/amararun), and 200+ build guides. Help me [your task]. Surface the exact links; where there is an API or MCP, call it directly; and if I want to self-host, find the repo and help me deploy it.

Markdown to PDF Converter

Everything markdown-to-PDF on Tigzig in one place: a free web tool, an open HTTP API, an MCP server for AI agents, the open-source code for all of it, and the apps it already powers. Two engines under the hood - the quick markdown route and ReportLab (the recommended one, and what runs all of my backends).

What this page is

This is the consolidated home for converting Markdown to PDF on Tigzig. There are a hundred markdown-to-PDF libraries out there - this page is the setup I actually build and run: one approach, exposed as a tool, an API, and an MCP server, all open source, plus the apps it powers. Pick what you need:

Two methods - markdown and ReportLab

I run two markdown-to-PDF engines. Both are open source and FastAPI-based:

  1. The markdown-library route - a lighter, quick way to turn markdown into a clean PDF. Good when you just want a tidy document fast. Repo: shared-markdown-to-pdf.
  2. ReportLab (my recommended method) - more control over formatting: tables (standard or side-by-side), code blocks, embedded images, and custom styling. This is what I use for all my backends, and it is what the live tool and the MCP server run on. Repo: shared-reportlab-md-to-pdf.

If you are choosing: start with ReportLab. The markdown-library route is the fast-and-simple alternative when the document is plain.

Use the free web tool

Paste raw Markdown or upload a .md file and download a clean, formatted PDF (plus an HTML version). It renders the full common Markdown set - headings, bold/italic, lists, tables, fenced code blocks, blockquotes, links - as a real, selectable-text PDF, not a screenshot. Images can be embedded. No sign-up, no watermark.

Open the converter →

Runs the ReportLab engine. Opens at mdtopdf.tigzig.com.

Use it from your code or an AI agent (API & MCP)

No auth, no key. The same converter is an open HTTP API and an MCP server, so a script - or an AI agent that just generated a report - can turn markdown into a real document.

HTTP API

Base URL https://mdtopdf.tigzig.com; interactive docs at /docs.

POST https://mdtopdf.tigzig.com/api/convert/text

JSON body, returns the PDF file directly. (Send a file instead via POST /api/convert, multipart field file.)

curl -X POST https://mdtopdf.tigzig.com/api/convert/text \ -H "Content-Type: application/json" \ -d '{"content": "# My Report\n\nWritten in **markdown**.", "filename": "report.pdf"}' \ --output report.pdf
import requests r = requests.post( "https://mdtopdf.tigzig.com/api/convert/text", json={"content": "# Report\n\nSome **markdown** with a table.", "filename": "report.pdf"}, ) open("report.pdf", "wb").write(r.content)

For reports with charts: upload the image to /api/upload-image, then POST to /text-input with the returned image_path - that endpoint returns a hosted pdf_url + html_url to share.

MCP server (for agents)

Mount it in Claude, Flowise or n8n; the agent calls a tool with markdown and gets back a PDF URL.

https://mcp-md-to-pdf.tigzig.com/mcp

MCP endpoint (Streamable HTTP). Add it as a custom MCP server / tool. Open source, no auth. More on the MCP servers page.

Get the code (open source)

Everything is public - clone and run your own, or read how it works. The backend is one FastAPI service that is both the HTTP API and the MCP server, so it stays a single constant repo whichever way you call it.

git clone https://github.com/amararun/shared-reportlab-md-to-pdf.git cd shared-reportlab-md-to-pdf pip install -r requirements.txt uvicorn main:app --host 0.0.0.0 --port 8000

Built on Python ReportLab + FastAPI. Production-hardened (per-IP rate limiting, concurrency caps, error sanitization, Cloudflare WAF). Runs fine on a free tier.

Apps powered by this backend

This is not a demo - the ReportLab backend is the PDF engine behind several Tigzig tools. Every one is open source on github.com/amararun; they all call the same converter:

Frequently asked questions

Is it free? Yes. No sign-up, no watermark. The API and MCP server are open, no key required.

Which method should I use? ReportLab for anything with tables, code, or images (it is what I use everywhere). The lighter markdown-library route is fine for plain documents.

Does it handle tables and code blocks? Yes - tables, fenced code blocks, lists, blockquotes, and links all render, and images can be embedded.

Can an AI agent use it? Yes - call the HTTP API directly, or mount the MCP server in Claude, Flowise, or n8n and convert as a tool call.

How is the PDF generated? A FastAPI + ReportLab service - real PDF typesetting, not a browser print-to-PDF, so layout is consistent and files are lightweight.

Who built it? Part of Tigzig - a free collection of AI tools for analytics, data, and automation.