MDMA

Generative UI from Markdown for LLMs, creating interactive forms, tables, and approval gates.

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mdma.software
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Quick facts
What is it Generative UI from Markdown for LLMs, creating interactive forms, tables, and approval gates.
Pricing Free
Free tier Yes
Platform Web Application
Best for building interactive forms for data collection, creating approval workflows and task lists

Data updated July 11, 2026

What does MDMA do?

MDMA is an open-source framework that transforms Markdown into interactive user interfaces, specifically designed for large language models (LLMs). It extends standard Markdown with special blocks that define UI components like forms, tables, and approval gates. Instead of LLMs returning plain text, MDMA allows them to generate structured, validated, and renderable UI elements.

The tool works by parsing Markdown into an Abstract Syntax Tree (AST), validating it against defined rules, running the logic, and then rendering it into a live, stateful interface using React components. It supports nine distinct component types, including forms with typed fields and validation, buttons for actions, task lists, sortable tables, callouts, approval gates for role-based sign-off, webhooks, charts, and even a 'thinking' component to visualize an LLM's reasoning. This modular approach allows developers to use only the necessary packages for their specific needs.

MDMA is particularly useful for developers and teams working with LLMs who want to move beyond text-based interactions. It helps reduce token costs by using forgiving Markdown that smaller, more affordable LLMs can reliably generate, unlike brittle JSON. Real-world use cases include building contact forms, budget approval workflows, employee onboarding checklists, bug reporting systems, customer surveys, and sales dashboards, all generated and managed through Markdown.

Key features

What makes it stand out
01
Extends Markdown with interactive components for UI generation
02
Parses, validates, runs, and renders Markdown into live, stateful interfaces
03
Supports nine component types: form, button, tasklist, table, callout, approval-gate, webhook, chart, and thinking
04
Reduces token costs by using forgiving Markdown compatible with small, cheap LLMs
05
Includes a static validator and an LLM fixer to repair broken documents

Who is MDMA for?

Who benefits most from this tool
building interactive forms for data collection
creating approval workflows and task lists
generating dynamic dashboards and reports from LLM output

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