Spec Driven Development
by formulahendry
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Runs on your computer★ 440MITUpdated 14 months ago
Install
AndroJack MCP
Overview
Description from the maker (original English)
Android engineering MCP server with verified documentation grounding and AI validation tools.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs on your computer
- Transport: stdio
- Category: Other
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- The registry lists no key to fill in.
You need
- npmNode.js installed (for the npx command)
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"androjack": {
"command": "npx",
"args": [
"-y",
"androjack-mcp"
]
}
}
}Run this in your terminal
claude mcp add androjack -- npx -y androjack-mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"androjack": {
"command": "npx",
"args": [
"-y",
"androjack-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"androjack": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"androjack-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account VIKAS9793, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Otheri
- More stars than 0% of the other 32602 servers in this category
- Published to the registry more recently than 65% of the other 32602 servers in this category
- Basic checks equal to or better than 100% of the other 32602 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is AndroJack MCP safe?
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed –, and the latest version (2.1.0) reached the registry 20 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
What can I use instead?
In the same category: Spec Driven Development, Remote Desktop Commander, Rystic
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Remote Desktop Commander
by desktop-commander
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Runs in the cloud★ 211Updated 2 days ago
Install
Rystic
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Start, seed, clock, inspect and diff Rystic API simulators from your agent.
Runs on your computerUpdated today
Install
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
AndroJack — The Jack of All Android Trades
*An MCP server that equips your AI coding assistant with live, verified Android knowledge — so it builds from official sources, not from memory.*
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.
Table of Contents
- The Crisis That Created This Tool
- What Actually Breaks In Practice
- What AndroJack Does
- Honest Activation Model
- What Can Still Break — Even at Level 3
- Defence-in-Depth
- The Killer Argument
- The 23 Tools
- Quick Start
- Manual Config
- Ecosystem: Google's First-Party Tools
- Security & Privacy
- Changelog
🔥 The Crisis That Created This Tool
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:
- 84% of developers now use AI coding tools — up from 76% the year before.
- Trust in AI accuracy collapsed from 40% to just 29% in a single year.
- 35% of all Stack Overflow visits in 2025 are now triggered by developers debugging and fixing AI-generated code.
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.
⚡ What Actually Breaks In Practice — Documented Evidence
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.
🧩 What AndroJack Does
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)
⚠️ Honest Activation Model — Two Levels
[!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.*
🪲 What Can Still Break — Even at Level 3
[!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.
✅ What Level 3 Catches
Only the beginning is shown; read the rest in the repo