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PopNx MCPMCP servers for people who use AI · explained in plain words

Markdown Pipeline

by markdown-pipelineversion 0.1.16i★ –iRuns on your computer
Registry nameio.github.markdown-pipeline/mdpipeline

Install

Overview

Description from the maker (original English)

Your team's Jira as clean Markdown files, kept current for your AI agent. Local and read-only.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Developer tools

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "mdpipeline": {
      "command": "uvx",
      "args": [
        "mdpipeline",
        "--install-method",
        "registry",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add mdpipeline -- uvx mdpipeline --install-method registry mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "mdpipeline": {
      "command": "uvx",
      "args": [
        "mdpipeline",
        "--install-method",
        "registry",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "mdpipeline": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mdpipeline",
        "--install-method",
        "registry",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account markdown-pipeline, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

  • More stars than 0% of the other 1395 servers in this category
  • Published to the registry more recently than 92% of the other 1395 servers in this category
  • Basic checks equal to or better than 100% of the other 1395 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Markdown Pipeline safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.16) reached the registry 3 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

GitHub

by github

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

Computer or cloud★ 34,245MITUpdated 4 days ago
Install

Desktop Commander

by wonderwhy-er

MCP server for terminal commands, file operations, and process management

Runs on your computer★ 10,225MITUpdated 16 days ago
Install

Cloudflare MCP

by cloudflare

Cloudflare MCP servers

Runs in the cloud★ 4,446Apache-2.0Updated 14 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Markdown Pipeline

Your team's tools as clean Markdown files, kept current for your AI agents. Early access: Jira Cloud and folders on your computer, on Linux.

  • Local. It runs on your computer. Your files go to a folder you choose, or to a GitHub repo you choose.
  • We only read. We never change anything in Jira or in your source folders.
  • Raw layer only. It does not summarize or analyze anything. Your agent (Claude Code, Codex) does that, from the files.
  • It sees what you see. It reads Jira with your own account's API token, so the files hold only the issues your account can read. The token never appears in the files, the logs or your agent's answers. Anyone who can open the folder or repo you choose can read the files, so choose it the way you'd choose who sees those issues.
  • Open source. Apache-2.0. The code that reads your Jira is in this repository.

Install

Linux (tested). One command. It installs uv if you don't have it (a Python tool manager), then the app, all under your home folder, with no administrator rights:

curl -fsSL https://raw.githubusercontent.com/markdown-pipeline/markdown-pipeline/main/install.sh | sh

It installs the latest release from GitHub Releases. No GitHub account, token or sign-in is needed. Then type mdpipeline: your browser opens the app. If your shell says mdpipeline: command not found, open a new terminal (or run uv tool update-shell) and try again. Run the same command again any time to move to the newest release; your settings and pipelines are kept.

Platforms: Linux (tested). macOS is untested. On Windows, use WSL 2 (Ubuntu) and run the command inside it. On a server or in WSL 2, background sync stops when you log out unless you run loginctl enable-linger $USER once; after a reboot, logging in or running any mdpipeline command starts it again.

Use it from your agent (MCP)

The app includes a local MCP server, so Claude Code or Codex can search and read the files.

mdpipeline connect --agent claude   # or: --agent codex

It prints the exact command (Claude Code) or config block (Codex) for your setup. Your agent starts the server itself when it needs it; nothing extra runs in the background. Tools: search, read, list, recent_changes ("what changed since yesterday?"), sync_status and sync. No tool writes or edits your files. The server reads only the Markdown files the app wrote (and your raw/ and wiki/ folders), on your computer.

What we send

Usage data only if you choose to share it, and the words you type in a feedback or source request when you press Send. The full list, in plain words: what-we-send. Turn it off any time: mdpipeline usage off.

Feedback and problems

Open an issue on this repository: Issues. Tell us what you tried, what you expected and what happened.

Uninstall

mdpipeline uninstall turns background sync off and prints the one command that removes the program. The Markdown files it wrote stay where they are.

Full reference (commands, settings, safety rules): docs/reference.md.

License

Apache-2.0. See LICENSE.

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