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MobileReality/mdma

by Various

Interactive documents from Markdown. Extends MD with forms, approvals, webhooks, and more — built for next gen apps

M

MCP

MobileReality/mdma

Added 1 June 2026

#agent-skills #ai-agents #claude-skill #generative-ui #interactive-markdown #llm #mcp #mcp-server

Overview

Turns Markdown into interactive documents by adding forms, approval workflows, and webhook integrations. It extends standard Markdown syntax and is built as an MCP (Model Context Protocol) server, making it usable in AI-assisted development contexts.

Best for

Best for
Developers prototyping interactive documentation or approval workflows within MCP-powered environments

Use cases

  • Creating markdown-based approval forms that trigger actions on submission
  • Embedding interactive webhooks directly into documentation pages
  • Building next-generation applications where documents are both human-readable and machine-executable

Notes

Turns Markdown into interactive documents by adding forms, approval workflows, and webhook integrations. It extends standard Markdown syntax and is built as an MCP (Model Context Protocol) server, making it usable in AI-assisted development contexts.

13 stars on GitHub. Last updated 2026-05-28. Licensed MIT.

Use cases

  • Creating markdown-based approval forms that trigger actions on submission
  • Embedding interactive webhooks directly into documentation pages
  • Building next-generation applications where documents are both human-readable and machine-executable

Pros

  • Keeps content in familiar Markdown format while adding interactivity
  • Lightweight project with a focused feature set for document-driven workflows
  • Integrates with the Model Context Protocol for AI tool orchestration

Cons

  • Very early stage with only 13 stars on GitHub
  • Limited community and documentation may hinder onboarding
  • Requires an MCP-compatible runtime, restricting standalone use

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Keeps content in familiar Markdown format while adding interactivity
  • Lightweight project with a focused feature set for document-driven workflows
  • Integrates with the Model Context Protocol for AI tool orchestration

Cons

  • Very early stage with only 13 stars on GitHub
  • Limited community and documentation may hinder onboarding
  • Requires an MCP-compatible runtime, restricting standalone use

Pairs with

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