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
Похожие серверы
Scout Monitoring MCP
спонсорPut performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
спонсорAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
MCP Sandbox
Execute Python code and install packages safely within isolated Docker containers.
MCP Chaos Rig
A local MCP server that breaks on demand. Test your client against auth failures, disappearing tools, flaky responses, and token expiry, all from a web UI.
weibaohui/k8m
Provides multi-cluster Kubernetes management and operations using MCP, featuring a management interface, logging, and nearly 50 built-in tools covering common DevOps and development scenarios. Supports both standard and CRD resources.
Bucket
Flag features, manage company data, and control feature access using Bucket.
Tox Testing
Executes tox commands to run Python tests with pytest. Requires the TOX_APP_DIR environment variable to be set.
onUI
Annotate elements, draw regions, and ship cleaner UI faster.
Digma
A code observability MCP enabling dynamic code analysis based on OTEL/APM data to assist in code reviews, issues identification and fix, highlighting risky code etc.
Grantex MCP
13-tool MCP server for AI agent authorization. Manage agents, grants, tokens, and audit logs from Claude Desktop, Cursor, or Windsurf. Plus @grantex/mcp-auth for adding OAuth
AntBot MCP Server
A TypeScript MCP server for integrating with the AntBot AI-based RPA platform, handling tool listing and execution.
MCP Server Toolkit
A comprehensive toolkit for developing, testing, and deploying Model Context Protocol (MCP) servers.