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

ARNO

by julianbeiversion 0.0.17i★ –iRuns on your computer
Registry nameio.github.julianbei/arno

Install

Overview

Description from the maker (original English)

The IDE for agents: read by symbol, edit against a revision, validate with your own build, revert.

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: Other

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

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

claude mcp add arno -- docker run -i --rm ghcr.io/julianbei/arno-mcp:v0.0.17

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "arno": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/julianbei/arno-mcp:v0.0.17"
      ]
    }
  }
}

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": {
    "arno": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/julianbei/arno-mcp:v0.0.17"
      ]
    }
  }
}

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 julianbei, 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 Otheri

  • More stars than 0% of the other 32718 servers in this category
  • Published to the registry more recently than 55% of the other 32718 servers in this category
  • Basic checks equal to or better than 100% of the other 32718 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 ARNO 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 (0.0.17) reached the registry 33 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker, MCPB on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, MemberVault MCP by usefulapi

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

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days 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.

ARNO — Agent Repository Navigation & Operations

The IDE for agents

ARNO gives coding agents what an IDE gives you, served over MCP. Read by symbol, edit against a known revision, get the compiler's diagnostics back with the edit, validate with the repository's own commands, see what changed, and revert to a checkpoint — each step one tool call, none of it through the shell.

Symbol-aware reading is how ARNO finds its way around; the transaction is what it is for. Where the shell is still the better tool, use it — the question ARNO has to answer is whether an agent gets more done, at acceptable cost, with it than without (docs/benchmark.md).

Half the tokens, more issues fixed. Claude Code on 12 real closed issues from cobra (Go), ky (TypeScript), requests (Python) and ripgrep (Rust), judged by each upstream fix's own hidden tests:

Claude Code with…Issues fixedTokens per taskTime per task
its built-in tools10 of 121.38M215s
ARNO in their place12 of 120.68M (−51%)163s (−24%)

Not just a shorter tool list: against a shell trimmed to Bash, Read, Edit and Write, ARNO still used 18–25% fewer tokens and fewer turns, in two separate runs. Sonnet 5, one run per task, four languages — results and caveats · how to set it up.

Status: 0.0.14 shipped, the first release without the Jade names; 0.0.11 and earlier were Jade — early, usable, and looking for feedback. Testing it? Start with the tester guide.

curl -fsSL https://raw.githubusercontent.com/julianbei/arno/main/install.sh | sh

For macOS and Linux — Windows isn't supported (here's why, and where to upvote). Run it again to update. Other ways to install.


Table of contents

  • Trying ARNO: a guide for testers
  • Why ARNO exists
  • Install
  • Configure your MCP client
  • Use it in a container
  • The tools
  • Repository commands
  • Language support
  • Design principles
  • When the shell is still the right tool
  • What ARNO does not do yet
  • Stability and versioning
  • Telemetry
  • Reporting problems
  • Development

Trying ARNO: a guide for testers

Thanks for testing. Half an hour gets you set up; the useful part is a week or two of your normal work with it switched on, and then telling us how it went — including if you turned it off.

1. Install ARNO and your language servers

macOS and Linux:

curl -fsSL https://raw.githubusercontent.com/julianbei/arno/main/install.sh | sh

Windows isn't supported, sorry! If you'd like it to be, please 👍 issue #2 or tell us there why it matters to you. (WSL 2 runs Linux, so the Linux build may work there, but we don't test it or take bug reports for it.)

The script picks the build for your OS and CPU, checks it against the release's checksums and installs it to /usr/local/bin, or ~/.local/bin when that is not writable — no sudo, no Go toolchain. If that directory is not on PATH, it offers to add it to your shell profile, and it prints the absolute path to use as command in your MCP client config. On a first install it then opens arno-mcp install, a menu that installs the language servers you pick, or shows how to install them by hand; Enter skips it, and you can run it again any time. Run the same command again to update — ARNO tells you when a new release is out (see Update check). (Prefer Go? go install github.com/julianbei/arno/cmd/arno-mcp@latest works too.) ARNO reads structure in every language with nothing else installed; exact references, cross-file rename and type errors on edit need the language's server — arno-mcp install installs these for you, or by hand:

LanguageInstallNotes
Gogo install golang.org/x/tools/gopls@latestFirst answer about 1.6s.
Javabrew install jdtls (needs JDK 21+), or your distro's packageFirst answer about 8.5s while it indexes. check runs mvn or gradle; with only the Gradle wrapper, have the agent declare ./gradlew build once (step 4).
Scalacs install metals (coursier)Set ARNO_METALS_IMPORT=1 so metals may import the sbt build (it creates .bloop/ and .metals/). First answer about 22s.
Kotlin—No grammar or server yet: text search only. Tell us if you need it.

A missing server is never an error: ARNO says which answers are approximate.

2. Point your agent at a real repository

For Claude Code, put this in .mcp.json at the root of the repository you work in (other hosts: Codex CLI, goose, OpenCode):

{

"mcpServers": { "arno": { "type": "stdio", "command": "arno-mcp", "args": ["--root", "/absolute/path/to/the/repo", "--tools", "core"], "alwaysLoad": true } } }

That keeps Claude Code's own tools too. For the clearest signal, run some sessions with ARNO in place of them: claude --tools "" with the same config (why and trade-offs). Restart or reconnect the client (/mcp) after installing or upgrading ARNO.

3. Check it came up

Ask the agent: *"call arno.capabilities"*. You should see your languages, each with server … (not started) or no server (… not installed), plus the build and test commands ARNO found (mvn, gradle, sbt, go test). If a server you installed shows as not installed, that is a bug report.

4. What to try

Work as you normally would. If you want a checklist for the first sessions:

  • Find and follow code: "where is X declared, and who calls it?" — find, references.
  • Rename across files: a method or class used in several files — rename (exact with gopls, jdtls or metals running).
  • A change in several places at once: "change the signature and update the callers, then check it builds" — apply with check.
  • Run the tests that matter: run_tests with a file or test name, or apply with check: "impact".
  • Repeatable commands: have the agent declare_command something you run often (./gradlew :core:test, sbt "testOnly *ParserSpec"); later sessions reuse it from .arno/commands.json.
  • Undo: checkpoint before something risky, revert if it goes wrong.
5. Tell us how it went
WhenFile this
After a week or two — or when you turn ARNO offFeedback
The agent used the shell although an ARNO tool existedFriction
A tool gave a wrong answer or failedBug
Something you wish ARNO didFeature wish

The templates ask for the output of arno.capabilities and, optionally, arno.telemetry. Neither contains source code; telemetry is local only and records no arguments or response text, so both are safe to paste from a private repository.

Known rough edges on the JVM: no formatter runs for Java or Scala files; large Gradle builds can make jdtls's first answer much slower than 8.5s; Kotlin has no support yet.


Why ARNO exists

An agent that falls back to grep, sed and cat is operating outside any tooling you control. No revision tracking, no guardrails, no telemetry, no way to know what it did or why it chose to do it that way. Every shell fallback is a hole in your visibility.

You cannot fix that by telling the model not to use the shell. The model uses the shell because the shell is *cheaper* — fewer tokens, fewer round trips, more flexible. So the only durable fix is to make the structural tool the cheaper option, and then measure whether you succeeded.

That is the entire bet, and it is testable. On this repository's own benchmark, ARNO answers seven realistic engineering questions in 0.85x the tokens of the equivalent shell commands. It was 5.63x before responses became plain text instead of JSON — see docs/response-style.md for what changed and why.

The counter-measurement matters as much. One question asked against an unrelated repository came out at 1.36x — worse than the shell — because an ambiguous symbol name forced an extra disambiguation call. Seven scenarios at home and one away disagree, both are honest, and the second is the one that predicts outside use. The 0.0.4 pilot on four outside repositories answers it at a larger scale: used in place of Claude Code's built-in tools, ARNO solved 12 of 12 real issues with 51% fewer tokens, and 18–25% fewer than a shell trimmed to four tools (docs/benchmark-results.md). ARNO is not finished.

ARNO's own development log (docs/feedback.md) records every time its author reached for bash instead, and why. The pattern it found was blunt: the fallbacks that survived longest each closed within two tasks of being *named in the log* — not when the tool shipped.


Install

With the install script
curl -fsSL https://raw.githubusercontent.com/julianbei/arno/main/install.sh | sh

Downloads the latest release binary for your OS and CPU, verifies it against checksums.txt, and installs it without sudo to /usr/local/bin or ~/.local/bin. Run it again to update: a arno-mcp already on PATH is replaced where it is, and nothing is downloaded when it is already current. If the directory is not on PATH, it offers to add it to your shell profile (ARNO_ADD_TO_PATH=1 does it without asking) and prints the absolute path to use in your MCP client config. ARNO_VERSION pins a release tag; ARNO_INSTALL_DIR picks the directory. Read it first if you like: install.sh.

Windows isn't supported — see issue #2, and give it a 👍 if you'd like that to change.

Language servers: arno-mcp install
arno-mcp install                           # menu: pick what to install

arno-mcp install --list # what is installed, and how the rest would be arno-mcp install --servers go,java,scala # install these, no questions arno-mcp install --all # every missing server this machine can install

The menu lists each language server ARNO can use, whether it is installed, and the exact command it would run — go install for gopls, brew install jdtls, cs install metals, npm install -g for TypeScript and Pyright, rustup component add rust-analyzer, gem install ruby-lsp — and confirms before running anything. A server with no installer on the machine gets instructions for installing it by hand. The install script opens the menu after a first install; ARNO_SKIP_SETUP=1 skips it.

For an agent, or any script — there is no terminal to answer a menu, so the same steps come without questions:

# install ARNO and chosen serv

Only the beginning is shown; read the rest in the repo

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