developer-tools

Android Project MCP Server

shenghaiwang

by shenghaiwang

Android Project MCP Server: build Android projects and run Android tests directly in VS Code via MCP-compatible extensio

A Model Context Protocol server that enables building Android projects and running tests directly in Visual Studio Code through extensions like Cline or Roo Code.

github stars

5

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

Works with Cline and Roo Code extensionsNo additional IDE setup required

best for

  • / Android developers using AI coding assistants
  • / Automating Android build workflows in VS Code
  • / Running Android tests without leaving the editor

capabilities

  • / Build Android projects
  • / Run unit tests
  • / Run instrumented tests
  • / Execute commands from VS Code extensions

what it does

Builds Android projects and runs tests directly from Visual Studio Code through AI coding assistants like Cline or Roo Code.

about

Android Project MCP Server is a community-built MCP server published by shenghaiwang that provides AI assistants with tools and capabilities via the Model Context Protocol. Android Project MCP Server: build Android projects and run Android tests directly in VS Code via MCP-compatible extensio 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 Project MCP Server 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 Project MCP Server 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 Project MCP Server MCP server?
Android Project MCP Server 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 Project MCP Server?
This profile displays 51 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 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.

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Ratings

4.851 reviews
  • Ganesh Mohane· Dec 28, 2024

    We evaluated Android Project MCP Server against two servers with overlapping tools; this profile had the clearer scope statement.

  • Amelia Wang· Dec 12, 2024

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

  • Noah Khanna· Dec 12, 2024

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

  • Sophia White· Dec 4, 2024

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

  • Sophia Perez· Nov 23, 2024

    We evaluated Android Project MCP Server against two servers with overlapping tools; this profile had the clearer scope statement.

  • Sakshi Patil· Nov 19, 2024

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

  • Ishan Taylor· Nov 3, 2024

    Android Project MCP Server is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Ishan Sethi· Oct 22, 2024

    We evaluated Android Project MCP Server against two servers with overlapping tools; this profile had the clearer scope statement.

  • Carlos Robinson· Oct 14, 2024

    Android Project MCP Server is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Chaitanya Patil· Oct 10, 2024

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

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