MobileReality/mdma
by Various
Interactive documents from Markdown. Extends MD with forms, approvals, webhooks, and more — built for next gen apps
MCP
MobileReality/mdma
Added 1 June 2026
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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