Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者による説明(英語の原文)
The IDE for agents: read by symbol, edit against a revision, validate with your own build, revert.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
リンク先は作者自身のファイルです。私たちが置いたり再パッケージしたりしたものではありません。ファイルを開くと、Claude Desktopがインストールします。
ターミナルでこれを実行します
claude mcp add arno -- docker run -i --rm ghcr.io/julianbei/arno-mcp:v0.0.17プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"arno": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/julianbei/arno-mcp:v0.0.17"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"arno": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/julianbei/arno-mcp:v0.0.17"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント julianbei で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(0.0.17)がレジストリに届いたのは33 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにDocker, MCPBも必要です。
同じカテゴリには:Spec Driven Development, Remote Desktop Commander, Master CSS
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Inspect Master CSS classes, generated CSS, and project stylesheets from your AI client.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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 fixed | Tokens per task | Time per task |
|---|---|---|---|
| its built-in tools | 10 of 12 | 1.38M | 215s |
| ARNO in their place | 12 of 12 | 0.68M (−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.
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.
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:
| Language | Install | Notes |
|---|---|---|
| Go | go install golang.org/x/tools/gopls@latest | First answer about 1.6s. |
| Java | brew install jdtls (needs JDK 21+), or your distro's package | First 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). |
| Scala | cs 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.
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.
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.
Work as you normally would. If you want a checklist for the first sessions:
find, references.rename (exact with gopls, jdtls or metals running).apply with check.run_tests with a file or test name, or apply with check: "impact".declare_command something you run often (./gradlew :core:test, sbt "testOnly *ParserSpec"); later sessions reuse it from .arno/commands.json.checkpoint before something risky, revert if it goes wrong.| When | File this |
|---|---|
| After a week or two — or when you turn ARNO off | Feedback |
| The agent used the shell although an ARNO tool existed | Friction |
| A tool gave a wrong answer or failed | Bug |
| Something you wish ARNO did | Feature 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.
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.
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.
arno-mcp installarno-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冒頭だけを表示しています。続きはリポジトリで読めます