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 code review comments from Reado, the read-first IDE, as context and tools for your agent.
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.
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Download the maker’s .mcpb file
The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.
Run this in your terminal
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.
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 8, 2026
The registry name was verified with the GitHub account WatermelonBros, 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 (1.34.0) reached the registry 19 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB 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
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If Reado earns it, a star is how a small open-source project gets found. The first 50 testers who send feedback get Reado Pro free for 12 months .
A full guided review on a real branch — unedited, in real time. The agent proposes, you decide, the agent fixes.
Your agent writes more code than you do now. The job that's left is reading it and deciding — and that deserves a tool of its own. In Reado you read, and you leave comments anchored to the exact lines that matter; your agent (Claude Code, Codex, Copilot, Gemini, OpenCode or Cursor) resolves them, and you review what changed.
Inverted code review: you are the reviewer, the AI is the committer.
Pick what to review — your working changes, a branch, a pull request — and a focus: bug risk, security, performance, test coverage. The agent plans a route through the change, reviews it file by file and proposes; nothing is final until you approve it.
1 · Point it at your changes. Compare a branch, pick a focus — bug risk, security, performance.
2 · The agent plans a route. It reads the diff in your terminal and orders the files, riskiest first.
3 · It proposes — never final. Findings land on the line as proposals. Nothing touches your code yet.
4 · You review too. Select any line and leave your own comment — Reado is a reading tool first.
5 · Ask for a second opinion. The agent challenges its own pass; you approve what holds up.
6 · Hand it back. Send the approved tasks; the fix lands and the comments resolve.
A Reado comment is not a sticky note. It is anchored to a line range, typed (bug, refactor, performance, question, note), threaded, and either a task for the agent or a note for the next reader. Comments live next to your code as plain Markdown in .reado/, and they survive edits: when the code moves, they re-anchor with it — and one whose code is gone becomes an orphan instead of quietly pointing at the wrong line.
Send review hands your open tasks to the agent running in Reado's terminal. It works through the reado CLI and MCP server — reading your comments, consulting the project's docs and specs, resolving each task — and Reado reflects every step live: the reasoning, the files it touches, the task closing. When it's done, a Δ on the file tree takes you straight to what changed since you last read it.
tour.json with your repository and anyone who opens it in Reado can walk the code you'd explain to a newcomer, the exact lines lit up and explained step by step. The format is open — any tool can read and write it.Reado is MIT and runs on macOS, Linux and Windows. Your code and your comments stay on your machine as plain files; an account is optional and never gates the app.
Grab the latest signed build from Releases — macOS (.dmg, signed & notarized), Linux (.AppImage / .deb / .rpm) and Windows (.exe / .msi). Reado updates itself from signed releases after that.
Reado's core loop is read → annotate → AI-resolve:
Cmd/Ctrl+J), launch Claude, Codex or Copilot, then click Send review. Reado injects a prompt pointing the agent at your open tasks.reado://tasks and reado://comments MCP resources, or reado task list — makes the changes, and marks each done with reado task done (or reado task fail " "). Reado's watcher reflects the result live, and resolved comments move to history.The reado binary is the stable contract — the on-disk format can evolve without breaking the agents. It serves both the MCP server (reado mcp, auto-wired into each agent's config on project open) and the CLI the agent calls, so it must be on the agent's PATH for the AI loop to work. The packaged app bundles it: install from Settings → Command-line tool (links reado into ~/.local/bin, VS Code style). The MCP server is also listed in the official MCP Registry as io.github.WatermelonBros/reado, as a bundle with the binary for macOS, Linux and Windows. From a source checkout, build and link it directly:
scripts/install-cli.sh # builds release + links into ~/.local/bin
reado --help
Actions (CLI): reado task list|show|done|fail|link, reado comment add|reply|search, and reado kb list|show|search (to consult the docs and specs before resolving). Context (MCP): the reado://tasks, reado://comments, reado://reading-progress and reado://bookmarks resources, plus browser_* tools for the in-app preview. Agent identity comes from $READO_AGENT (Reado sets it when launching an agent).
An agent plugin in plugin/ teaches Claude Code (and Codex, via AGENTS.md) this contract so the agent resolves tasks correctly. See plugin/README.md to install it. Other agents (e.g. Copilot) still get the contract from the Send review prompt Reado injects, as long as the reado CLI is installed.
| Shortcut | Action |
|---|---|
Cmd/Ctrl + P | Go to file (fuzzy) |
Cmd/Ctrl + K | Command palette |
Cmd/Ctrl + Shift+F | Search & replace in project |
Cmd/Ctrl + , | Settings |
Reado aims to be a friendly open-source project, and contributions are welcome. Everything you need to build, test and send a change — prerequisites, the dev loop, the checks CI runs, conventions — is in CONTRIBUTING.md. Please read our Code of Conduct; security issues go through SECURITY.md.
MIT © Reado contributors