GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
Beschreibung vom Entwickler (englisches Original)
Ask a repository what depends on what. Every answer cites the file, line and commit it came from.
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.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"mirofy": {
"command": "npx",
"args": [
"-y",
"mirofy-cli",
"mcp"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add mirofy -- npx -y mirofy-cli mcpIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"mirofy": {
"command": "npx",
"args": [
"-y",
"mirofy-cli",
"mcp"
]
}
}
}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": {
"mirofy": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mirofy-cli",
"mcp"
]
}
}
}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 8. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto Hasan-Laraib 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 (0.6.0) kam vor 2 Monaten in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js auf deinem Computer.
In derselben Kategorie: GitHub, Desktop Commander, Cloudflare MCP
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:↓ Downloads pro Wochei★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
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.
Diagrams of your system that cite their sources — and say what they could not see.
This is the whole product: one HTML file, open in a browser. Every colour in it is the system’s own vocabulary — backend, database, cloud, security, message bus, external — and nothing else. Colour never marks where an arrow goes, only what a thing is .
Open this exact file ↗ — click any node for its evidence, trace what reaches it, search it, present it.
Point Mirofy at a repository. It reads the code into an evidence graph, builds a model from that graph, and compiles the model into one HTML file you can open, search, share and check.
Every relationship it draws can answer one question: *what is the evidence for this?* Each carries the file, the line range and the commit it came from. Where nothing is known, the diagram says so instead of filling the gap.
Run it against this repository and you get this — not a mock-up, and not drawn by hand:
Every box is the same colour here, and that is the point. All twelve of these are the same thing — a package, derived from a manifest — so there is nothing for colour to say, and it says nothing. The picture at the top is colourful because that system genuinely has six kinds in it. A tool that tinted these boxes to look livelier would be inventing a distinction it had not found.
Open the live one ↗ — click any node for the file, line range and commit behind it.
Nothing to install — one command, and a diagram opens:
npx mirofy-cli map . # YOUR repository, mapped, in one command
npx mirofy-cli demo # a finished artifact, to see what this produces npx mirofy-cli init # a starter document of your own to edit npx mirofy-cli render architecture architecture.json
Give it to your agent instead — one line, and the skill installs for Claude Code, Cursor, Gemini CLI, Amp and a dozen others:
npx skills add Hasan-Laraib/Mirofy
Then ask: *map this repository's architecture*. Your agent reads SKILL.md and drives the same CLI.
In Claude Code, the plugin carries both the skill and the MCP server:
/plugin marketplace add Hasan-Laraib/Mirofy
/plugin install mirofy@mirofy
Every one of these routes is the same package. The agent never draws the diagram — it runs the CLI you would have run, which is why nothing it reports can drift from what the CLI reports.
map runs the whole pipeline in the directory you point it at — scan, model, compile, layout, render — and writes architecture.html next to your code. map --out sends the diagram and the intermediates there instead, so nothing lands in your repository; without it the intermediates go to /scan. Naming an output path still wins over both. It works on a repository that declares no workspaces: where there are no packages to draw, it models the source directories and the imports between them.
mirofy-cli/api is the same pipeline as a library — no argv, no process.exit, and no stderr to parse:
import { render, validate, map } from 'mirofy-cli/api';
const html = await render('architecture', diagram); // one HTML string const { ok, diagnostics } = await validate('architecture', diagram); const { html, drawn, coveragePath } = await map('.'); // the whole pipeline
A rejected document throws a MirofyRenderError carrying .diagnostics — the renderer's own structured report, each entry with a code, a subject, the evidence behind it and the fixes it supports. validate returns that report instead of throwing, because "this document is invalid" is an answer, and checking a hundred documents should not need a hundred try/catch blocks.
map needs a git repository: every fact is pinned to a revision, so a directory with no commit has nothing for the evidence to cite, and it says so rather than failing further down.
JavaScript and TypeScript imports · Python imports · Go imports · Java imports · Rust imports · Kotlin imports · package.json workspaces · Express and Next routes · docker-compose.
That is the whole list, and the list is the point. Everything else is reported, not skipped: coverage.md names every file no adapter opened, grouped by type, and map says so on its way out when the unread files outnumber the read ones. Point it at a Ruby repository and you get an honest empty answer naming every unread .rb file — not a confident small one drawn from the two JavaScript files in an examples/ folder.
Python resolves by file existence, not by convention: relative imports against the importing file's directory, absolute ones against the repository root and any directory that actually holds a package. A specifier that matches two source roots is a gap naming both, because which one wins depends on sys.path, which is configuration and not in the source.
Go resolves against the module path go.mod declares, and decides the standard library the way the toolchain does — a first path segment containing a dot is a domain, and a domain means a module fetched from somewhere. Java builds its index from the package statements files declare, not from directory layout: Maven convention puts com.acme.store under src/main/java/com/acme/store and convention is not always, but the declaration is what the compiler reads.
Rust peels a use from the right until a real file appears, because use crate::a::b::C does not say which of a, b or C is the file. It reads the crate name and the source root from Cargo.toml — including a declared [lib] path, since src/ is only the default — and knows that Cargo compiles every direct child of tests, benches and examples as its own crate.
Kotlin reads its type index from the declarations themselves — class, interface, object, typealias and fun interface among them — rather than from file names, because a Kotlin file need not be named after the type it holds and may declare several. It shares that index with Java: the two compile to one namespace and import each other freely, so an index of one extension reports a real edge to the other as a missing type.
In every one of them, an import that names something inside this repository which is not there is a gap — never a dependency on a published copy of yourself.
npx mirofy-cli guide "show an API request with a cache miss" picks the diagram type for you if you are not sure which one you want.
As a CLI you keep — npm install -g mirofy-cli. The command it installs is `mirofy`; the package carries the -cli suffix because npm refused the bare name as too close to the existing minify.
From source — no install at all, because there is nothing to install:
git clone https://github.com/Hasan-Laraib/Mirofy.git
node Mirofy/packages/core/bin/mirofy.mjs demo
That works on a bare checkout with no npm install, because every package here has zero runtime dependencies.
As an agent skill — build the bundle and copy it where your agent looks:
git clone https://github.com/Hasan-Laraib/Mirofy.git
cd Mirofy && npm install && npm run build:skill
cp -r dist/mirofy ~/.claude/skills/ # Claude Code cp -r dist/mirofy ~/.agents/skills/ # Codex CLI, opencode
Then ask: Use mirofy to map this repository's runtime architecture.
The bundle is 2.8 MB and named for the skill inside it — copying packages/core instead installs a skill called core that says in its own frontmatter it is called mirofy, and drags the test suite along with it. Before writing the bundle, build:skill copies it somewhere with no repository around it and renders a diagram: a bundle that only works inside its own checkout is not a bundle.
Nothing is downloaded at runtime and nothing phones home — there is no update check, because a tool that reaches the network to tell you about itself is a tool that reaches the network.
mirofy map is these five steps in order. If you only want the intermediates, mirofy map . out.html --out ./scan writes every one of them — the evidence graph, the model, the view and the positioned document — into that directory.
To run a step on its own, or point one somewhere else, you need a checkout; these are the repository's own npm scripts, not commands the installed package exposes:
npm run scan # repository → evidence graph
npm run model -- --from-graph --graph scan/evidence-graph.json npm run compile # model → a bounded view npm run layout # view → positioned document node packages/core/bin/mirofy.mjs render architecture scan/diagram.json out.html --repo-root .
Against this repository it records 1,227 facts across 223 files, with 17 gaps it could not read; derives 19 components and 21 relationships — every one citing the file and line it came from — and draws twelve, recording what it left out and why.
Those figures are checked, not remembered — see the numbers on this page below.
Those commands reproduce the diagram at the top of this page. It is checked in under assets/ as documentation; the interactive artifacts are built, never stored.
No repository? Author a JSON document, or convert a Mermaid diagram:
node packages/core/bin/mirofy.mjs import mermaid design.mmd
node packages/core/bin/mirofy.mjs render architecture design.json out.html node packages/core/bin/mirofy.mjs validate architecture design.json --json
<img src="assets/evidence.svg" alt="One drawn edge, opened: the passport shows the relation depends-on, provenance statically-derived, the source line render-workfl
Nur der Anfang wird gezeigt; den Rest findest du im Repo