Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Android engineering MCP server with verified documentation grounding and AI validation tools.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"androjack": {
"command": "npx",
"args": [
"-y",
"androjack-mcp"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add androjack -- npx -y androjack-mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"androjack": {
"command": "npx",
"args": [
"-y",
"androjack-mcp"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"androjack": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"androjack-mcp"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub VIKAS9793, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (2.1.0) llegó al registro hace 20 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, Recta
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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.
Cheaper cross-chain stablecoin routes for AI agents; 5 % of the verified saving, nothing if none.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
Also works with: Windsurf · VS Code Copilot · Google Antigravity · JetBrains AI — see Manual Config below ↓
VS Code distribution: Also live on the VS Code Marketplace as AndroJack MCP for VS Code.
In 2025, the Stack Overflow Developer Survey asked 49,000 developers about their experience with AI coding tools. The results should alarm every Android engineer:
The gap between usage and trust is not a coincidence. It is the product of a structural problem: AI models predict tokens, not APIs. They were trained on a snapshot of the world and have no mechanism to know what changed at API 30, what shipped at Google I/O 2025, or what Google Play now rejects at review time.
For Android developers, this failure mode is uniquely dangerous. Android has the fastest-moving ecosystem in mobile development — a new Compose BOM every month, Navigation 3 going stable after seven years of Nav2, Android 16 rewriting the rules on screen orientation locking — and most AI tools have training data that is six months to two years stale by the time you use them.
The result is not just bad code. It is confidently bad code.
These are not hypothetical risks. They are documented failure modes from real developer projects.
The Navigation 3 Hallucination (January 2026)
A published case study from Atomic Robot documented a live Navigation 2 → Navigation 3 migration using both Gemini and Claude — with internet access enabled on both. The conclusion, verbatim:
*"LLMs still hallucinate versions. Even with internet access, both agents wanted to use an outdated release candidate instead of the stable 1.0.0 release."*
Navigation 3 went stable in November 2025 after seven years of the same library. It is a complete architectural rethink: back stacks are now plain Kotlin lists, the monolithic nav graph is gone, and NavDisplay replaces NavController. Google's own migration guide is so aware that AI tools get this wrong that it now contains special "AI Agent:" annotations — instructions embedded directly in the official docs for AI tools to follow. An AI tool that generates Nav2 code for a new Compose project in 2026 is not making a small mistake. It is creating an architectural incoherence that requires a full rewrite to fix.
The Compose Deprecation Treadmill
Jetpack Compose ships a new BOM every month. Since most models' training cutoffs, these APIs changed:
| API | Status | What goes wrong |
|---|---|---|
ContextualFlowRow / ContextualFlowColumn | Deprecated in Compose 1.8 | AI still generates them — compile warning today, removal tomorrow |
TestCoroutineDispatcher | Removed from coroutines-test 1.8+ | AI still generates it — non-deterministic test failures in CI |
FlowRow overflow parameter | Deprecated in 1.8 | Subtle behavioral regression at runtime, silent in most linting setups |
AnchoredDraggableState.confirmValueChange | Deprecated | Incorrect drag behavior at anchor boundaries |
| Navigation 2 in new projects | Superseded by Nav3 stable Nov 2025 | Architectural dead-end that requires a rewrite to fix |
Every one of these compiles. Most run without errors. The bugs surface later in CI flakiness, UI regressions, or Play Store review failures.
The Android 16 / API 36 Mandate (in force since August 31, 2026)
Android 16 made a platform-level change affecting every published app: on devices ≥600dp — tablets, foldables, ChromeOS — apps can no longer lock screen orientation or restrict resizability. Since August 31, 2026, Google Play requires new apps and updates to target API 36 (extension available to November 1, 2026). Android 17 / API 37 removes the remaining opt-out.
An AI tool generating android:screenOrientation="portrait" or android:resizeableActivity="false" today is generating code that triggers App Compatibility warnings in Play Console, fails large-screen quality checks, and gets apps demoted in Play Store search results.
The business impact is not theoretical: Foldable users spend 14× more on apps than phone-only users. Tablet + phone users spend 9× more. FlipaClip saw 54% growth in tablet users within four months of going adaptive.
The KMP Silent Failure
Kotlin Multiplatform went mainstream in 2025 — over 900 new KMP libraries published, Room added KMP support, companies now hire specifically for KMP skills. When a developer on a KMP project asks an AI tool to add database support, the AI generates Android-only Room code. It compiles. It runs perfectly on Android. The iOS build fails. The developer spends hours debugging before realizing the root cause: their AI tool does not know KMP exists.
AndroJack is a documentation-grounded Android engineering MCP server. It gives your AI coding assistant 23 specialized tools that fetch live, verified answers from official Android and Kotlin sources — instead of predicting from stale training data.
It does not make the AI smarter. It makes the AI accountable to evidence.
Think of it as a pre-build linter for LLMs. While other tools retrieve documentation, AndroJack acts as a strict architectural gatekeeper.
Without AndroJack: You ask → AI predicts from stale weights → Code (possibly wrong)
With AndroJack: You ask → AI calls tool → Tool fetches official source live → AI reads verified answer → Code (grounded)
[!IMPORTANT]
This is the most important thing to understand before you install AndroJack.
| Level | What's Active | What the AI Does |
|---|---|---|
| Level 1 — Tools only | 23 tools registered in IDE | AI *may* call the right tool. Depends on the IDE and the AI's judgment. |
| Level 2 — Tools + Grounding Gate | 23 tools + mandatory pre-generation rulebook | AI *must* call the correct tool for every decision before writing code. |
| Level 3 — Full loop-back | Level 2 + android_code_validator | AI validates every code block against 34 rules. Errors must be fixed before the user sees the code. |
Level 1 is passive. The tools are available but the AI decides when to use them. An AI building a Compose screen may call architecture_reference but skip material3_expressive — and ship M3E violations silently.
Level 2 is active. The androjack_grounding_gate system prompt maps every task type to the correct tool. Building Compose UI? The AI is mandated to call material3_expressive first. Adding a dependency? It must call gradle_dependency_checker. No exceptions.
Level 3 is the loop-back. android_code_validator runs on every code block the AI generates before returning it to the user. 34 rules covering removed APIs, deprecated patterns, Android 16/17 compliance, and Compose-First migration signals. Comments are ignored, so a migration note like // replaced AsyncTask never triggers a false FAIL. Results come back as text and as structuredContent with an output schema. Verdict FAIL means the AI must fix and re-validate — the user never sees the broken code.
→ *For full grounding, always activate Level 2 + Level 3. See Getting the Full Guarantee below.*
[!IMPORTANT]
AndroJack is a documentation-grounding and API-validation tool. It is not a Compose layout engine, a design system enforcer, or a runtime renderer. Level 3 catches removed APIs and deprecated patterns. It cannot catch every class of Android bug. This is not a limitation of AndroJack — it is a fundamental property of static text analysis applied to a visual, runtime-rendered UI framework.
The following bugs were encountered in a real Android app built with AndroJack at Level 2 (v1.4.0). They are documented here honestly so you know exactly what to watch for — and where to reach for different tools.
Solo se muestra el principio; lee el resto en el repo