android-mcp-toolkit
A growing collection of MCP tools for Android Development. Currently features a deterministic Figma-SVG-to-Android-XML converter, with plans for Gradle analysis, Resource management, and ADB integration tools.
Android MCP Toolkit for AI Agents
Small MCP server with three tools:
- Fast SVG → Android VectorDrawable conversion (cached, file or inline).
- adb logcat reader with package/pid/tag filters for quick crash triage.
- Translation length difference estimator to flag risky length deltas before layout breaks.
Why this exists
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.
Pairing ideas
- Figma MCP: grab SVGs from designs, feed to
convert-svg-to-android-drawableto get XML for Android resources. - Debugging: while running the app, call
read-adb-logcatwith package name or tag to capture crashes and filtered logs without leaving the MCP client.
Previews
SVG to VectorDrawable
- Figma request → SVG extraction

- Flag conversion preview (single)

- Batch flag review (side-by-side)

- Batch run via MCP (console)

ADB logcat tool
- Crash capture prompt (inputs + filters)

- Response preview (summarized logcat)

Current tools
-
convert-svg-to-android-drawable- Inputs:
svg(inline) orsvgPath(file path). Optional:outputPath,floatPrecision(default 2),fillBlack(default false),xmlTag(default false),tint,cache(default true). - Output: VectorDrawable XML text; also writes to disk when
outputPathis provided. - Performance: LRU cache (32 entries) keyed by SVG + options plus fast reuse in-session.
- Converter: vendored fork in
vendor/svg2vectordrawablewith fixes forrgb()/rgba(),hsl()/hsla(), and named colors. Upstream license:vendor/svg2vectordrawable/LICENSE(MIT).
- Inputs:
-
manage-logcat- Inputs:
action:read(default),crash,anr, orclear.packageName: Optional. Resolves PID viaadb shell pidof.pid: Optional. Explicit PID.tag: Optional. Filter by tag (e.g.MyApp).priority:V,D,I,W,E,F,S(defaultV).maxLines: Tail count (default 200, max 2000).timeoutMs: Default 5000.
- Behavior:
read: Fetches logcat tail.crash: Fetcheslogcat -b crash.anr: Fetches recent ActivityManager ANR logs + tail of/data/anr/traces.txt.clear: clears logcat buffers.
- Inputs:
-
get-current-activity- Inputs:
timeoutMs(default5000, max15000). - Behavior: Inspects
dumpsys windowto find the currently focused app/window. Useful to verify state.
- Inputs:
-
dump-ui-hierarchy- Inputs:
timeoutMs(default 10000). - Behavior: Captures current UI hierarchy as XML via
uiautomator.
- Inputs:
-
take-screenshot- Inputs:
outputPath(required),timeoutMs. - Behavior: Saves device screenshot to local file.
- Inputs:
-
inject-input- Inputs:
command(tap,text,swipe,keyevent,back,home),args(array),timeoutMs. - Optional:
elementIdorelementText(finds element center and taps it). - Behavior: Simulates user interaction suitable for testing flows.
- Inputs:
-
estimate-text-length-difference- Inputs:
sourceText(original),translatedText(to compare),tolerancePercent(default30, max500). - Behavior: Measures grapheme length of both strings, computes percent change, and reports whether it exceeds the tolerance (useful to catch translation length blowups that could break layouts).
- Inputs:
Roadmap (planned)
- Additional MCP tools for Android assets (e.g., batch conversions, validations, optimizers).
- Optional resource prompts for common Android drawables/templates.
Quick start
npm installnpm run buildnode dist/index.js(stdio MCP server)
Run via npx
- Global:
npx android-mcp-toolkit
Use in Cursor (MCP config)
Add 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%3D
Examples
- Input SVG:
sample_svg.svg - Output VectorDrawable:
examples/sample_svg.xml
Notes
- Transport: stdio via
@modelcontextprotocol/sdk. - Base deps kept minimal; everything needed to convert SVGs is vendored/included.
Contact
Serveurs connexes
Scout Monitoring MCP
sponsorPut performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
sponsorAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Tolgee
Manage your app’s translations directly from your AI coding assistant. Search keys, create translations, trigger machine translation. All without leaving your editor.
Deepseek Thinker
Provides Deepseek's reasoning capabilities to AI clients, supporting both the Deepseek API and local Ollama server modes.
Add Tool
Fetches and sets up an MCP server from a specified GitHub repository.
Blender MCP Senpai
An AI-assisted mentor for Blender that detects topology issues and offers real-time improvement suggestions.
Repomix
Packs code repositories into a single, AI-friendly file using the repomix tool.
Text Classification (Model2Vec)
A server for text classification using static embeddings from Model2Vec, supporting multiple transports like stdio and HTTP/SSE.
promptz.dev
Access and manage prompts from promptz.dev for developers.
Meta MCP Server
An MCP server for intelligent tool routing, using a Qdrant vector database and LM Studio for embeddings.
Adobe After Effects
Control Adobe After Effects through a standardized protocol, enabling AI assistants and other applications.
Rust Docs MCP Server
Query up-to-date documentation for Rust crates.