原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

ARNO

作者:julianbei版本 0.0.17i★ –i在你的电脑上运行
注册名称io.github.julianbei/arno

安装

概览

作者提供的说明(英文原文)

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

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

下载作者的 .mcpb 文件

链接指向作者自己的文件;我们不托管也不重新打包它。打开文件后,Claude Desktop 会进行安装。

在终端中运行这条命令

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

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 julianbei 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32725 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32725 个服务器的 55% 更新
  • 基础检查结果等于或优于此分类中其他 32725 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

ARNO 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.0.17)于33天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Docker, MCPB。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Signoff

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者:formulahendry

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

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

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

在云端运行★ 211前天更新
安装

Signoff

作者:ayuanxx-max

Five gates that make an agent's 'done' provable: run them, read the verdict, audit the record.

在你的电脑上运行今天更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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

只显示了开头部分;其余内容请在仓库中阅读

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