Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
The IDE for agents: read by symbol, edit against a revision, validate with your own build, revert.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Die .mcpb-Datei des Entwicklers herunterladen
Der Link führt zur Datei des Entwicklers selbst; wir hosten sie nicht und verpacken sie nicht neu. Öffne die Datei, dann installiert Claude Desktop sie.
Führe das in deinem Terminal aus
claude mcp add arno -- docker run -i --rm ghcr.io/julianbei/arno-mcp:v0.0.17In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"arno": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/julianbei/arno-mcp:v0.0.17"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"arno": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/julianbei/arno-mcp:v0.0.17"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto julianbei bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.0.17) kam vor 32 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Docker, MCPB auf deinem Computer.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, Zendesk
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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.
Zendesk MCP Pack — tickets, users, organizations via OAuth.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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 servNur der Anfang wird gezeigt; den Rest findest du im Repo