# AndroidBuilder MCP Server

> AndroidBuilder MCP Server — williamcorrea23-androidbuilder-mcp. Use this tool when you need to integrate Large Language Models (LLMs) with Android app development environments, enabling real-time interaction and control over Designer and Blocks workspaces in MIT App Inventor, AndroidBuilder, Kodular, or Niotron IDEs. It solves problems of automated app development, testing, and debugging by providing a programmatic interface via Chrome DevTools Protocol. This tool is ideal for use cases requiring dynamic app generation, automation, or AI-driven development workflows.

Canonical page: https://skillsregistry.net/skills/williamcorrea23-androidbuilder-mcp  
JSON: https://api.skillsregistry.net/v1/skills/williamcorrea23-androidbuilder-mcp

## Description

Enables LLMs to interact with MIT App Inventor, AndroidBuilder, Kodular, or Niotron IDEs in real-time, controlling the Designer and Blocks workspace via Chrome DevTools Protocol.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vis9bwea4m)
- **Repository:** <https://github.com/williamcorrea23/androidbuilder-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "williamcorrea23-androidbuilder-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/williamcorrea23-androidbuilder-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/williamcorrea23-androidbuilder-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
