原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

JevSim

作者:huaaudio版本 0.1.0i★ –i在你的电脑上运行
注册名称io.github.huaaudio/jevsim

安装

概览

作者提供的说明(英文原文)

Run verified iOS and Android UI workflows in one agent tool call with Jev.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他
  • 你需要填写:TYPESAFE_API_KEY

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: TYPESAFE_API_KEY, JEVSIM_MODEL, JEVSIM_XCODE_COMMAND, JEVSIM_XCODE_ARGS, JEVSIM_ANDROID_APPIUM_URL, JEVSIM_ADB_COMMAND

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "jevsim": {
      "command": "npx",
      "args": [
        "-y",
        "@huaaudio/jevsim"
      ],
      "env": {
        "TYPESAFE_API_KEY": "your-value",
        "JEVSIM_MODEL": "your-value",
        "JEVSIM_XCODE_COMMAND": "your-value",
        "JEVSIM_XCODE_ARGS": "your-value",
        "JEVSIM_ANDROID_APPIUM_URL": "your-value",
        "JEVSIM_ADB_COMMAND": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add jevsim --env TYPESAFE_API_KEY=your-value --env JEVSIM_MODEL=your-value --env JEVSIM_XCODE_COMMAND=your-value --env JEVSIM_XCODE_ARGS=your-value --env JEVSIM_ANDROID_APPIUM_URL=your-value --env JEVSIM_ADB_COMMAND=your-value -- npx -y @huaaudio/jevsim

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "jevsim": {
      "command": "npx",
      "args": [
        "-y",
        "@huaaudio/jevsim"
      ],
      "env": {
        "TYPESAFE_API_KEY": "your-value",
        "JEVSIM_MODEL": "your-value",
        "JEVSIM_XCODE_COMMAND": "your-value",
        "JEVSIM_XCODE_ARGS": "your-value",
        "JEVSIM_ANDROID_APPIUM_URL": "your-value",
        "JEVSIM_ADB_COMMAND": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "jevsim": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@huaaudio/jevsim"
      ],
      "env": {
        "TYPESAFE_API_KEY": "your-value",
        "JEVSIM_MODEL": "your-value",
        "JEVSIM_XCODE_COMMAND": "your-value",
        "JEVSIM_XCODE_ARGS": "your-value",
        "JEVSIM_ANDROID_APPIUM_URL": "your-value",
        "JEVSIM_ADB_COMMAND": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • TYPESAFE_API_KEY 机密 env
    TypeSafe API key for semantic selection. Exact-identifier workflows need no key.
  • JEVSIM_MODEL env
    TypeSafe selection model.
  • JEVSIM_XCODE_COMMAND env
    iOS only: XcodeBuildMCP executable. Use an absolute path if needed.
  • JEVSIM_XCODE_ARGS env
    iOS only: JSON array of XcodeBuildMCP arguments.
  • JEVSIM_ANDROID_APPIUM_URL env
    Android only: separately running Appium 3/UIAutomator2 server on loopback.
  • JEVSIM_ADB_COMMAND env
    Android only: adb executable. Use an absolute path if needed.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 huaaudio 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32484 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32484 个服务器的 46% 更新
  • 基础检查结果等于或优于此分类中其他 32484 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

JevSim 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:TYPESAFE_API_KEY

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.0)于2个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Recta

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新
安装

Recta

作者:RectaBuild

Cheaper cross-chain stablecoin routes for AI agents; 5 % of the verified saving, nothing if none.

电脑或云端今天更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

JevSim

English | 简体中文

Complete a mobile UI sequence in one agent tool call.

JevSim is a local MCP server for agents working with iOS and Android apps. Give it a short plan—navigate, enter text, save, verify—and it executes the steps without returning to your main reasoning loop after every interaction. Jev, a text-based selection model, matches descriptions to current accessibility controls. XcodeBuildMCP (iOS) or Appium/UIAutomator2 (Android) performs the actions and checks the results.

If you are a human, give your agent this repository URL and ask: “Install JevSim for my iOS/Android project, connect it to your MCP tools, and verify the setup.” The instructions below are for that agent.

Speed comparison

We reran the same ten-tap iOS Settings tour with the same checks after every action: open five sections and return from each. Pure agent means the main agent reads each screen and chooses the next control through XcodeBuildMCP. Agent + JevSim means it delegates the full route in one jevsim_run_steps call, with Jev selecting all ten targets.

ApproachMedian execution timeVerified runsSpeedup
Pure agent + XcodeBuildMCP117.3 s3/31×
Agent + JevSim + XcodeBuildMCP35.7 s3/33.3×

Measured September 21, 2026: GPT-6-astra (high reasoning) in Codex, Jev 1.13.0, XcodeBuildMCP 2.7.0, iPhone 17e / iOS 26.5 Simulator. Times include observations, target decisions, actions, checks, and intermediate agent/tool round trips; setup and initial route planning are excluded. This is one navigation benchmark with three runs per approach, not a general debugging or Android speed guarantee. Run details and reproduction.

Agent installation

  1. Inspect the environment. Use Node.js 24 and npm. Choose the platform from the user's project; install only that backend. Reuse existing tools and credentials where available.
  2. Use the npm package. Configure the MCP client to run npx -y --package=@huaaudio/jevsim@0.1.0 jevsim. This downloads the compiled package; no clone or build is needed. Use an absolute path to Node.js 24’s npx if the client has a restricted PATH. Source installation remains available for development.
  3. Prepare the backend. For iOS, use macOS, Xcode, and a booted simulator; JevSim starts its own pinned XcodeBuildMCP process. For Android, prepare ADB and a device/emulator, then start local Appium with UIAutomator2 using the Android instructions. Build, install, and launch the user's app with your existing tools.
  4. Configure Jev. Supply TYPESAFE_API_KEY through your client's secret/environment configuration. The npm launcher does not automatically read .env; use the env-file launch option if needed. Preserve an existing .env; use .env.example only as a template. Never print or commit the key. Exact-identifier workflows also work without a key.
  5. Register and verify the MCP server. Follow the agent installation runbook for absolute launch paths, client configuration, and readiness checks. Preserve other MCP servers. Installation is complete when you can discover all three tools, connect to the chosen backend, and inspect the intended device. Report any missing prerequisite precisely.

Delegate a workflow

ToolUse it to
jevsim_statusCheck backend connectivity, credential presence, and device inventory
jevsim_inspectRead the current accessibility state of one explicit device
jevsim_run_stepsExecute 1–10 supplied steps within 60 seconds; receive outcomes, timings, and any stop reason

Call status and inspect first. For iOS, pass the observed simulatorId; for Android, pass platform: "android" and the ADB deviceId. Derive the plan from the app and the user's task. Every step must include a backend-verifiable expect condition.

For example, this is one step only if your app exposes the stated destination identifier:

{

"action": "tap", "target": { "description": "Open the profile editor" }, "expect": { "predicate": "exists", "identifier": "profile.name" } }

Use a unique observed target.identifier when available; it skips the model request. Otherwise, Jev selects among current action-compatible controls or abstains. It cannot invent steps or generate typing text. Supported actions are tap, type, scroll, wait, and assert. See the request schema and complete example.

Reserve the device until the call returns. A completed result means every supplied expectation matched. If execution stops, inspect completedSteps, reason, and actionStatus, then inspect the app and re-plan. Never blindly replay a workflow or an uncertain action. See agent usage and recovery.

When to use it

Delegate known sequences: reproduce a bug, navigate to a screen, exercise a form, or verify a change. Keep builds, code edits, visual interpretation, and decisions that depend on new information in your main agent. Split longer work into bounded sequences.

  • Supported: iOS Simulator and native Android accessibility. Android has been live-tested on an Android 15 emulator on macOS; physical Android devices and Windows/Linux hosts remain unvalidated.
  • Input: Android supports Unicode and empty replacement. The tested iOS backend accepts nonempty printable ASCII only.
  • Limits: inaccessible controls, Android WebViews, and arbitrary desktop GUIs need other tools. JevSim does not interpret screenshots.
  • Data: semantic selection sends accessibility text and field values to TypeSafe. Exact-identifier workflows skip those requests. Tool transcripts and backend logs may contain app data; see data handling.

Reference

Agent installation · Agent usage · Tools · Configuration · Troubleshooting · Release notes

Contributors: development guide for fixtures, tests, benchmark reproduction, and implementation history.

MIT. Independent project; automation backends and the TypeSafe service have their own terms and licenses.

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