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MDflow

Created By
Václav Martina day ago
MDflow is a markdown workspace where folders hold markdown documents and each folder's description defines the context for the documents inside it. The remote MCP server (Streamable HTTP at https://mdflow.cz/api/mcp) lets AI agents search context and read, create, update, move, and share markdown documents and folders. Authenticate with a Personal Access Token via the Authorization: Bearer mdf_... header. Docs: https://mdflow.cz/docs/mcp
Overview
// markdown, ready for people and agents

> yourcontextin simplemarkdown

Create, edit and share markdown files with people and AI agents. Work in a beautiful online editor, or control your markdown files through API and MCP.

https://mdflow.cz/workspace
Readme.md
SharedSave
# Agent-ready notes
Markdown for teammates, scripts, and AI agents.
Hit `Cmd+S` to save, then share the rendered file.
## Context
![architecture sketch](/api/images/img_42)
- [x] Describe the folder for agents
- [x] Paste an image into markdown
- [ ] Share the doc with images
- [ ] Let MCP read it as context
Read API: GET /api/v1/documents/:id
$cat features.txt

built for useful markdown.

Write in the browser, attach images, share the result, then let scripts and agents read the same workspace through documented interfaces.

$mdflow edit

Modern online editor

A focused Monaco-based editor with markdown highlighting, split preview, keyboard-friendly saves, and no desktop app to install.

$mdflow share

Sharing and commenting

Share markdown files by link or invite specific people, then collect feedback through comments without exposing the rest of your workspace.

$mdflow search

Search your documents

Find documents by title and body text across your workspace, then jump straight back into the file you need.

$curl /api/v1

API access

Use API to list folders and documents, fetch markdown bodies from server-side scripts or agent tools and upload document.

$npm run mcp

Local MCP server

Run MDflow's local MCP server so Claude Desktop, Codex, Cursor, and other MCP-capable agents can read your files as context.

$mdflow context

Folder context descriptions

Add descriptions to folders so humans and agents know what belongs there before reading every document.

$cat pricing.txt

free to lift off. pro to fly.

Begin free with everything you need to write, share, and comment. Move to Pro for unlimited files, a large image library, API access, and a local MCP server. Try Pro free for 7 days.

swipe to compare →

Plan comparison between the Free and Pro tiers
// what's included
Free
free forever
Prorecommended
€4.99/ month
for power users & agents
7-day free trial
Markdown files5unlimited
Image uploads510,000
CommentingIncludedIncluded
Public sharing linksIncludedIncluded
Private sharing of documents and foldersNot includedIncluded
Full access through APINot includedIncluded
Remote MCP ServerNot includedIncluded
// no card to start./start./start-trial

//Fair-use policy may apply — unlimited files and high image limits assume reasonable use, and abusive usage may be throttled.

$./mdflow-clip --save

clip the web. keep the markdown.

The MDflow Web Clipper turns any page into clean Markdown and saves it straight to a folder in your account. Read the article, highlight what matters, then clip — no copy-paste, no formatting cleanup.

$./why-mdflow

how it fits your workflow

Plain markdown stays portable

Write normal markdown and keep the source easy to copy, export, or feed into another tool.

Readers get the clean version

Share links open directly to the rendered document. No workspace chrome, no account requirement for readers.

Images follow the document

Uploaded images are private by default and become readable only when the saved document is shared.

Agents get scoped context

Folder descriptions, document metadata, and markdown bodies give AI tools useful context without write access.

Server-side auth

Workspace reads and writes require authentication. Public documents use random share slugs.

Small surface area

Editor, search, sharing, API, and MCP. The product stays focused on moving markdown between people and tools.

$mdflow init

start your markdown workspace.

Sign in with Google, create a folder, describe its context, and start collecting markdown that people and agents can read.

Server Config

{
  "mcpServers": {
    "mdflow": {
      "url": "https://mdflow.cz/api/mcp",
      "headers": {
        "Authorization": "Bearer mdf_your_token_here"
      }
    }
  }
}
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