android-mcp-toolkit

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.

Category
Visit Server

README

Android MCP Toolkit for AI Agents

Small MCP server with two tools:

  • Fast SVG → Android VectorDrawable conversion (cached, file or inline).
  • adb logcat reader with package/pid/tag filters for quick crash triage.

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-drawable to get XML for Android resources.
  • Debugging: while running the app, call read-adb-logcat with package name or tag to capture crashes and filtered logs without leaving the MCP client.

Previews

SVG to VectorDrawable

  • Figma request → SVG extraction
    Figma request via MCP
  • Flag conversion preview (single)
    Flag conversion preview
  • Batch flag review (side-by-side)
    Batch flag review
  • Batch run via MCP (console)
    Batch run via MCP

ADB logcat tool

  • Crash capture prompt (inputs + filters)
    Crash logcat prompt
  • Response preview (summarized logcat)
    Response gap prompt

Current tools

  • convert-svg-to-android-drawable

    • Inputs: svg (inline) or svgPath (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 outputPath is provided.
    • Performance: LRU cache (32 entries) keyed by SVG + options plus fast reuse in-session.
    • Converter: vendored fork in vendor/svg2vectordrawable with fixes for rgb()/rgba(), hsl()/hsla(), and named colors. Upstream license: vendor/svg2vectordrawable/LICENSE (MIT).
  • read-adb-logcat

    • Inputs: packageName (resolve pid via adb shell pidof -s), pid (explicit), tag, priority (V|D|I|W|E|F|S, default V), maxLines (tail count, default 200, max 2000), timeoutMs (default 5000, max 15000).
    • Behavior: Runs adb logcat -d -t <maxLines> with optional --pid=<pid> and -s tag:priority.
    • Output: Returns the logcat text; if no lines are returned, responds with a short message.
    • Notes: Requires adb available in PATH and a connected device/emulator. Provide at least one of packageName, pid, or tag to scope logs.
  • get-pid-by-package

    • Inputs: packageName (required), timeoutMs (default 5000, max 15000).
    • Behavior: Resolves pid via adb shell pidof -s <package>.
    • Notes: Use this first, then pass pid to other logcat tools for noise-free filtering.
  • get-current-activity

    • Inputs: timeoutMs (default 5000, max 15000).
    • Behavior: Parses adb shell dumpsys window for mCurrentFocus / mFocusedApp to reveal the currently focused window (useful even in single-activity setups to confirm top window).
  • fetch-crash-stacktrace

    • Inputs: packageName (optional, resolves pid), maxLines (default 400, max 2000), timeoutMs (default 5000, max 15000).
    • Behavior: Pulls crash buffer via adb logcat -b crash -d -t <maxLines>; filters by --pid when package is provided.
  • check-anr-state

    • Inputs: maxLines (default 400, max 2000), timeoutMs (default 5000, max 15000).
    • Behavior: Fetches ActivityManager:E *:S (recent ANR logs) and best-effort reads /data/anr/traces.txt (stat + tail 200 lines). May require root/debuggable.
  • clear-logcat-buffer

    • Inputs: timeoutMs (default 5000, max 15000).
    • Behavior: Runs adb logcat -c to clear buffers before a new scenario.

Roadmap (planned)

  • Additional MCP tools for Android assets (e.g., batch conversions, validations, optimizers).
  • Optional resource prompts for common Android drawables/templates.
  • Upcoming MCP utilities (planned):
    • Logcat reader: stream and filter Android logcat output via MCP.
    • Asset checkers: flag common drawable issues (size, alpha, color profile).
    • Batch conversions: multi-SVG to VectorDrawable with consistent options.
    • Template prompts: quick-start drawable/XML snippets for common patterns.

Quick start

  • npm install
  • npm run build
  • node 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": {
    "figma-desktop": {
      "url": "http://127.0.0.1:3845/mcp"
    },
    "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

  • nam.nv205106@gmail.com

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured