developer-tools

Android Build

shenghaiwang

by shenghaiwang

Automate android mobile application development in VS Code with Android Build—streamline building, testing & error repor

Streamlines Android project development by providing automated tools for building, testing, and running instrumented tests through Visual Studio Code extensions, enabling seamless interaction and error reporting.

github stars

5

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Works with VS Code extensions like ClineNo complex setup required

best for

  • / Android developers using VS Code
  • / Automating Android CI/CD workflows
  • / Testing Android apps during development

capabilities

  • / Build Android projects
  • / Run unit tests
  • / Execute instrumented tests
  • / Report build and test errors
  • / Integrate with VS Code extensions

what it does

Automates Android project builds and testing from within your development environment. Provides tools to build, run unit tests, and execute instrumented tests on Android projects.

about

Android Build is a community-built MCP server published by shenghaiwang that provides AI assistants with tools and capabilities via the Model Context Protocol. Automate android mobile application development in VS Code with Android Build—streamline building, testing & error repor It is categorized under developer tools. This server exposes 3 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install Android Build 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.

license

MIT

Android Build is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Android Project MCP Server

A Model Context Protocol server that builds Android project that enables seamless workflow working with Android projects in Visual Studio Code using extensions like Cline or Roo Code.

<a href="https://glama.ai/mcp/servers/@ShenghaiWang/androidbuild"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@ShenghaiWang/androidbuild/badge" alt="Android Project Server MCP server" /> </a>

Available Tools

  • build - Build Android project
    • folder (string, required): The full path of the current folder that the Android project sits
  • test - Run unit test
    • folder (string, required): The full path of the current folder that the Android project sits
  • instrumentedTest - Run Instrumented test
    • folder (string, required): The full path of the current folder that the Android project sits

Installation

Using uv (recommended)

When using uv no specific installation is needed. We will use uvx to directly run mcpandroidbuild.

Using PIP

Alternatively you can install mcpandroidbuild via pip:

pip install mcpandroidbuild

After installation, you can run it as a script using:

python -m  mcpandroidbuild

Configuration

Configure for Claude.app

Add to your Claude settings:

<details> <summary>Using uvx</summary>
"mcpServers": {
  "mcpandroidbuild": {
    "command": "uvx",
    "args": ["mcpandroidbuild"]
  }
}
</details> <details> <summary>Using pip installation</summary>
"mcpServers": {
  "mcpandroidbuild": {
    "command": "python",
    "args": ["-m", "mcpandroidbuild"]
  }
}
</details>

License

mcpandroidbuild MCP tool is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

FAQ

What is the Android Build MCP server?
Android Build is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Android Build?
This profile displays 68 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

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

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

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

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ 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.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

List & Promote Your MCP Server

Share your MCP server with the developer community

GET_STARTED →
MCP server reviews

Ratings

4.768 reviews
  • Evelyn Rahman· Dec 28, 2024

    Android Build is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Yuki Chen· Dec 12, 2024

    Android Build is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Henry Ghosh· Dec 8, 2024

    Android Build has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Nia Tandon· Nov 27, 2024

    According to our notes, Android Build benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Hiroshi Ghosh· Nov 19, 2024

    I recommend Android Build for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Evelyn Khanna· Nov 3, 2024

    I recommend Android Build for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Benjamin Garcia· Oct 22, 2024

    According to our notes, Android Build benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Kiara Park· Oct 18, 2024

    I recommend Android Build for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Yuki Huang· Oct 10, 2024

    According to our notes, Android Build benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Kofi Chen· Sep 25, 2024

    Strong directory entry: Android Build surfaces stars and publisher context so we could sanity-check maintenance before adopting.

showing 1-10 of 68

1 / 7