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.
Description from the maker (original English)
Your team's Jira as clean Markdown files, kept current for your AI agent. Local and read-only.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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 mcpPaste 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.
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.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account markdown-pipeline, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (0.1.16) reached the registry 3 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
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’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.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
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.
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.
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.
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.
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.
Open an issue on this repository: Issues. Tell us what you tried, what you expected and what happened.
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.
Apache-2.0. See LICENSE.