# Mobile Next MCP Server

> Use this tool when you need to automate interactions with mobile applications on iOS and Android devices, enabling scalable mobile automation through a platform-agnostic interface. It solves problems of interacting with mobile apps using accessibility snapshots or coordinate-based interactions, allowing agents and LLMs to seamlessly integrate with mobile devices. The server takes in accessibility snapshots or coordinates as inputs and outputs interactions with mobile applications, ideal for use cases requiring automated mobile app testing or integration.

Canonical page: https://skillsregistry.net/skills/mobile-next-mobile-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mobile-next-mobile-mcp

## Description

A Model Context Protocol server that enables scalable mobile automation through a platform-agnostic interface for iOS and Android devices, allowing agents and LLMs to interact with mobile applications using accessibility snapshots or coordinate-based interactions.

## Trust

- **Trust score (0–1):** 0.76
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a2b6isqsub)
- **Repository:** <https://github.com/mobile-next/mobile-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": "mobile-next-mobile-mcp"
    }
  }
}
```

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

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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
