by Nam0101
Supercharge Android Studio workflows with AI-driven SVG conversion, live logcat, and advanced mobile dev tools for smart
Connects AI agents to Android development tools for asset conversion, debugging, and testing. Converts SVGs to VectorDrawables and provides live access to Android device diagnostics.
Android MCP Toolkit is a community-built MCP server published by Nam0101 that provides AI assistants with tools and capabilities via the Model Context Protocol. Supercharge Android Studio workflows with AI-driven SVG conversion, live logcat, and advanced mobile dev tools for smart It is categorized under developer tools. This server exposes 7 tools that AI clients can invoke during conversations and coding sessions.
You can install Android MCP Toolkit in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Android MCP Toolkit is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
We evaluated Android MCP Toolkit against two servers with overlapping tools; this profile had the clearer scope statement.
We wired Android MCP Toolkit into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Android MCP Toolkit is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
I recommend Android MCP Toolkit for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
I recommend Android MCP Toolkit for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Android MCP Toolkit has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Android MCP Toolkit reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Useful MCP listing: Android MCP Toolkit is the kind of server we cite when onboarding engineers to host + tool permissions.
Strong directory entry: Android MCP Toolkit surfaces stars and publisher context so we could sanity-check maintenance before adopting.
According to our notes, Android MCP Toolkit benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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Small MCP server with three tools:
The Mission: Bringing Native Android to the AI Agent Era
While the AI ecosystem flourishes with web-first tools, Android development often feels left behind. This MCP server is my answer to that gap—a dedicated bridge connecting AI Agents directly to the Android toolchain.
⚡ Zero-Friction Asset Conversion: Convert SVGs to VectorDrawables instantly without the overhead of launching Android Studio.
🔍 Direct Diagnostic Access: Empower agents to pull, filter, and analyze adb logcat streams (by package, PID, or tag) in real-time.
🤖 Agent-Native Architecture: Deliver structured, scriptable outputs that LLMs can parse and act upon efficiently.
🚀 Built for Extensibility: A solid foundation designed to grow, paving the way for future utilities like bitmap helpers and asset validation.
convert-svg-to-android-drawable to get XML for Android resources.read-adb-logcat with package name or tag to capture crashes and filtered logs without leaving the MCP client.SVG to VectorDrawable
ADB logcat tool
convert-svg-to-android-drawable
svg (inline) or svgPath (file path). Optional: outputPath, floatPrecision (default 2), fillBlack (default false), xmlTag (default false), tint, cache (default true).outputPath is provided.vendor/svg2vectordrawable with fixes for rgb()/rgba(), hsl()/hsla(), and named colors. Upstream license: vendor/svg2vectordrawable/LICENSE (MIT).manage-logcat
action: read (default), crash, anr, or clear.packageName: Optional. Resolves PID via adb shell pidof.pid: Optional. Explicit PID.tag: Optional. Filter by tag (e.g. MyApp).priority: V, D, I, W, E, F, S (default V).maxLines: Tail count (default 200, max 2000).timeoutMs: Default 5000.read: Fetches logcat tail.crash: Fetches logcat -b crash.anr: Fetches recent ActivityManager ANR logs + tail of /data/anr/traces.txt.clear: clears logcat buffers.get-current-activity
timeoutMs (default 5000, max 15000).dumpsys window to find the currently focused app/window. Useful to verify state.dump-ui-hierarchy
timeoutMs (default 10000).uiautomator.take-screenshot
outputPath (required), timeoutMs.inject-input
command (tap, text, swipe, keyevent, back, home), args (array), timeoutMs.elementId or elementText (finds element center and taps it).estimate-text-length-difference
sourceText (original), translatedText (to compare), tolerancePercent (default 30, max 500).npm installnpm run buildnode dist/index.js (stdio MCP server)npx android-mcp-toolkitAdd to your Cursor settings JSON:
{
"mcpServers": {
"android-mcp-toolkit": {
"command": "npx",
"args": [
"-y",
"android-mcp-toolkit"
]
}
}
}
The npx call downloads the published package; no local path required.
Quick install via Cursor deep link:
cursor://anysphere.cursor-deeplink/mcp/install?name=android-mcp-toolkit&config=eyJjb21tYW5kIjoibnB4IC15IGFuZHJvaWQtbWNwLXRvb2xraXQifQ%3D%3Dsample_svg.svgexamples/sample_svg.xml@modelcontextprotocol/sdk.Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.