Lionscope

Name: Lionscope
Author: risyadul

by risyadulversion 0.12.0i★ –iRuns on your computer

Registry nameio.github.risyadul/lionscope

Install

Overview

Description from the maker (original English)

Android profiler and Layout Inspector: CPU, memory, frames, stalls, layouts, network, logcat

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
UsageiEarly↓ 439/wk · ★ –

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: Search & AI memory

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?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "lionscope": {
      "command": "npx",
      "args": [
        "-y",
        "lionscope",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add lionscope -- npx -y lionscope mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "lionscope": {
      "command": "npx",
      "args": [
        "-y",
        "lionscope",
        "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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "lionscope": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "lionscope",
        "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 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account risyadul, 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 Search & AI memoryi

More stars than 0% of the other 5684 servers in this category
Published to the registry more recently than 91% of the other 5684 servers in this category
Basic checks equal to or better than 100% of the other 5684 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 Lionscope 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 (0.12.0) reached the registry 4 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: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

by upstashWidely used↓ 972.7K/wk★ 64.2KUpdated 2 days ago

Computer or cloud

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Codebase Memory

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

by DeusDataWidely used↓ 18K/wk★ 48.1KUpdated 22 days ago

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Exa

Connect AI agents to Exa for web search, content fetching, and multi-step research.

by exa-labsGrowing★ 5.2KUpdated 2 months ago

Runs in the cloud✓ exa.ai

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.

Lionscope

Lionscope is a lightweight Android profiler and Layout Inspector in your browser, and your AI agent can use it too. No Android Studio needed: run npx lionscope@latest, pick a device and an app.

Profile: CPU, memory, frame rendering, main-thread stalls, layout inflation and logcat for one app, on a single shared time axis. With the SDK, each stall names the line that blocked and where its work came from (an RxJava chain and the line that subscribed it, a coroutine, a posted Runnable, a click).
Inspect: freeze the screen, click a view, and see its attributes; with the SDK, also the XML layout and line it came from and the Fragment that owns it, the composables of Compose screens with the Kotlin line that calls them, and live edits of a View's properties (padding, size, colors with a picker, text…) on the running app.
Network: with the SDK's OkHttp interceptor, see the app's HTTP requests (headers, bodies, timings) on the same time axis, and mock responses or failures from the dashboard.
Operate: see and control emulators (which it can also boot headless) and USB devices right next to the charts, and move them to another location on a map.
AI agents: the same data as tools over MCP or a CLI (Claude Code, Cursor, VS Code, Codex, …). Select a view in the Inspector and ask your agent about "this element".

It stays light. Measured with the sample app on an emulator, the server uses under 1% of one CPU core while the app is idle and about 4% while it scrolls, with 100–150 MB of memory. The SDK adds about 0.5% CPU in the app.

It works in two modes:

ADB-only (no app changes): everything is collected through adb shell (/proc, dumpsys, logcat).
With the optional SDK in the app's debug build: adds which screen is on top (Activity, Fragment, DialogFragment), per-frame FrameMetrics with a stage-by-stage breakdown, grouped per screen, and main-thread stalls with the app code line that caused them and where their work came from (plus opt-in StrictMode violations), layout inflation timing, the Layout Inspector's own view tree with layout sources and owners, the composables of Compose screens, live edits of Views, and (with one line in your OkHttpClient) the app's HTTP traffic and mock responses.

The bundled sample app on a headless emulator, operated from the Device column: screen bands across all charts, SDK FrameMetrics in the Rendering lane, logcat below the timeline, and the Screens tab ranking the screens by jank.

What the dashboard shows

One page: the device, the charts on one time axis, logcat and, with the SDK, the Screens, Stalls, Layouts and Network tabs. See What the dashboard shows, and each part in detail:

Finding the line that blocks the main thread
Layouts: what inflating XML costs
Layout Inspector: pick a view, see where it came from, and editing views live
Network: requests and mocks
Saved state: what makes it too large
Operating the emulator or a physical device from the dashboard
Changing the device's location

Requirements

Node.js ≥ 22.12
Android SDK platform-tools (adb). Lionscope looks for it in LIONSCOPE_ADB, $ANDROID_HOME, $ANDROID_SDK_ROOT, ~/Library/Android/sdk, then PATH.
A device or emulator with USB debugging enabled, running Android 7.0 (API 24) or newer (Lionscope relies on pidof, toybox date +%s%3N and a non-PTY adb shell).

Quick start

npx lionscope@latest

open http://localhost:8701

@latest makes npx check for a new release; a bare npx lionscope can keep running a version it cached earlier.

From source instead (the npm package may lag the latest git tag): git clone https://github.com/risyadul/Lionscope.git && cd Lionscope && npm install && npm run lionscope.

Pick the device, pick the app, press Start. Nothing needs to be installed on the device for the ADB-only mode. npx lionscope --help lists the options (--port, --device-port, --adb, --allow-device-control, --allow-network-bodies) and the mcp and query commands for AI agents; the lionscope package is a single bundled file plus the built dashboard, with no runtime dependencies.

Adding the SDK (optional, debug builds only)

The SDK is published on JitPack. It is a public artifact: no credentials or opt-in property are needed.

// settings.gradle (dependencyResolutionManagement) or app/build.gradle repositories

maven { url "https://jitpack.io"; content { includeGroup "com.github.risyadul.Lionscope" } } // app/build.gradle debugImplementation "com.github.risyadul.Lionscope:lionscope:0.12.0"

If the project uses dependencyResolutionManagement, the maven block goes in settings.gradle; otherwise in the module's repositories. The content { includeGroup … } filter keeps JitPack from serving anything except Lionscope.

No code changes are needed: the SDK starts itself through androidx.startup, and only does anything in a debuggable build and in the app's main process. When a session starts, the server runs adb reverse tcp:8700 tcp: for the selected device itself and removes it when the session stops. If an app removes androidx.startup's InitializationProvider, call Lionscope.install(context) from Application.onCreate.

Apps that call the SDK's API (Lionscope.install(), Lionscope.trackNavigation(), Lionscope.okHttpInterceptor(), …) also need the lionscope-noop artifact in release builds. That, screen names, Navigation Compose, the Network interceptor and what the SDK costs when no dashboard is connected are in The SDK.

Use with AI agents

AI coding agents (Claude Code, Cursor, VS Code, Codex, …) get the dashboard's data as tools, over MCP (npx -y lionscope mcp) or the shell (npx lionscope query ). Tools that operate the device stay off unless you add --allow-device-control. Setup for each client, the tools, the agent skill and the safety notes are in Use with AI agents.

Architecture

The server, the dashboard, the SDK and how they connect: Architecture.

Security model

What the server accepts, from where, and what reaches an agent: Security model.

Known limitations

See Known limitations.

Configuration

Flags and environment variables: Configuration.

Development

Building and testing from source: Development.

License

Licensed under the Apache License, Version 2.0. See NOTICE.

Lionscope

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

Lionscope

What the dashboard shows

Requirements

Quick start

open http://localhost:8701

Adding the SDK (optional, debug builds only)

Use with AI agents

Architecture

Security model

Known limitations

Configuration

Development

License