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
Mobster
概览
作者提供的说明（英文原文）
Control iPhones and iOS simulators: read screens, tap, type and verify. Requires macOS and uv.
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。
- 用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
- 我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
- 使用情况i尚未统计★ –
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
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）。
- 注册中心没有列出需要填写的密钥。
你需要
- PyPI已安装 Python 的 uv（用于 uvx 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": {
"mobster": {
"command": "uvx",
"args": [
"mobster-cli",
"mcp"
]
}
}
}在终端中运行这条命令
claude mcp add mobster -- uvx mobster-cli mcp或者自己复制设置
粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json
{
"mcpServers": {
"mobster": {
"command": "uvx",
"args": [
"mobster-cli",
"mcp"
]
}
}
}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。
或者自己复制设置
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"mobster": {
"type": "stdio",
"command": "uvx",
"args": [
"mobster-cli",
"mcp"
]
}
}
}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。
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
注册名称已通过域名 mobster.dev 验证（注册中心会核实域名所有权）
- … 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 98% 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
Mobster 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？
注册中心没有列出必需的密钥，不过有些服务器会在首次使用时要求你登录。
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（0.4.3）于今天进入注册中心。
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 Python (uv)。
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
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。
Mobster engine
The agent loop behind Mobster for Mac, and the research we measured it with. MIT.
An agent that drives your iPhone can read your messages and tap Send. This repository is the code that decides when: the observe, decide, verify, act loop, the WebDriverAgent driver it reads and acts through, and the safety core in front of every action. Next to it are the benchmarks, the evals and the results we published, with the losses printed next to the wins.
Mobster for Mac is the product built on this loop. It sets up your iPhone, shows it live, asks for your OK on a card, runs workflows on a schedule, adds itself to Claude Code, Cursor and Codex, and runs the loop with the speed and quality work that lives in the app. Get Mobster for Mac at mobster.dev.
Read the loop
| Path | What it is |
|---|---|
mobile_agent/frontier.py | The loop: one model plans every step; the guards, the task contract and the DONE gate |
mobile_agent/contract.py | What the task asked for, and the proof on screen that each part was done |
mobile_agent/engines.py | The configuration the app and the benchmarks share (model, reasoning, limits), and the result summary |
mobile_agent/drivers.py, state.py | WebDriverAgent's HTTP API: the accessibility tree as a snapshot, then taps, typing and swipes |
mobile_agent/transport.py, gemini.py | The transport under the model calls. The Claude, OpenAI and Gemini clients and the price table are in model_clients.py |
mobile_agent/journal.py, task_policy.py, effect_ledger.py, secret_filter.py, system_dialogs.py, permissions/ | The safety core: the device lock and run journal, what counts as a send, buy, post or delete, the duplicate-action guard, secret masking, iOS's own prompts, the approval gate |
mobile_agent/harness_api.py | The seam to Mobster for Mac: registries and hooks, empty in this repository |
examples/reference_loop.py | The loop's API in the order a run uses it |
mobile_agent/bench/, mobile_agent/evals/ | MobsterBench-iOS, the iOSWorld harness, the baselines, the paired A/B tools, VisionJudge's labelled set |
mobile_agent/docs/, research/ | Design notes and dated research write-ups |
How one step works
- Observe. The driver reads the app's accessibility tree from WebDriverAgent and turns it into a snapshot: each element's role, label, value and frame.
- Decide. The model gets the task, the plan so far and the screen as numbered rows, and answers with the next 1 to 6 actions.
- Verify. Before an action goes out, the loop checks it against the screen it was chosen on. After it, the loop reads the screen again and checks the action took effect.
- Act. The driver taps, types or swipes, and the loop goes back to step 1 until the contract's proof is on screen or a limit stops it.
Around every step, the safety core holds:
- The loop asks before a send, a buy, a post or a delete (
task_policy.py,permissions/), and an action whose outcome is unknown is never sent again (effect_ledger.py). - Every event is emitted before the next action is sent. Mobster for Mac writes each one to its journal (
journal.py), and one run holds a phone's lock at a time. - Passwords, one-time codes, card numbers and keys are masked before anything is stored (
secret_filter.py). - Text read from the phone is data. It never reaches the model as an instruction.
examples/reference_loop.py shows the API end to end on a fixed, read-only task: reading the iOS version in Settings. You bring a WebDriverAgent runner that serves your iPhone and a Claude or OpenAI key. It answers no to every approval.
Results
Every number names what was measured, on what, and when. The method and confidence intervals are in mobile_agent/docs/benchmarks.md and research/.
| Measured | Result | Losses and gaps |
|---|---|---|
iOSWorld dev_core split, this loop on Claude Sonnet 5.5 at low reasoning, simulators, 10 to 11 Oct 2026 | 53.8% official pass; agent time p50 103 s; about $0.18 a task | Multi-app tasks pass 31%. The best published result, 51.9%, is on all 133 tasks, so the two aren't directly comparable |
| iOSWorld, 16 unseen tasks, paired A/B, 28 Sep 2026 | Sonnet 5.5 50% (95% CI 28 to 72), $0.197 a task; Opus 5.5 56% (31 to 81); gpt-5.6-sol 50% | No difference between the models is significant at this size |
| MobsterBench-iOS, 68 tasks, iPhone 15 Pro over USB, 24 Sep 2026 | 54 of 66 passed (82%, CI 71 to 89); p50 7.7 s a task; $0.0057 a task | Multi-app 2 of 6. One risky tap blocked and 2 unintended actions recorded. Not held out: fixes went in between passes (63%, 71%, 82%). No baseline ran |
| Where time goes, 346 runs, 22 Sep 2026 | The device side is about 61% of wall time, the model about 36% | At least 17% is waiting for the screen to settle |
| FrameClock (the MJPEG stream as a settle clock), iPhone 15 Pro, 23 Sep 2026 | Mean navigation settle 1,122 to 996 ms with 0 premature settles in 48 | 0 of 32 premature still allows up to about 9%; Safari's pixel settle isn't measured |
| VisionJudge on 135 labelled public-domain images, 23 Sep 2026 | 1 error in 117 answers (99.1% precision) | One rater; thresholds fitted on the same set; not phone screenshots |
| The action verifier, 34 attempts, 19 Sep 2026 | Correct actions allowed 14 of 14; wrong actions blocked 12 of 12 | It let through 6 actions it should have refused; repeating an Add is still unsolved |
The September results predate 13 Oct 2026, when this loop became Mobster's only engine. The October iOSWorld numbers are this loop. The research notes describe modules that ship in Mobster for Mac (the frame clock, hedged calls, skills); their code isn't in this repository.
Tests
The tests need no phone, simulator, network or key:
make venvmake test-backend
mobile_agent/tests/test_engine_boundary.py checks that the engine imports nothing outside its own modules, and runs the reference example on a scripted phone and model.
Third-party software
The engine installs jsonschema and referencing (MIT) and Pillow (MIT-CMU) from PyPI. It talks to WebDriverAgent (BSD-3-Clause, Facebook, Inc.) over HTTP; this repository holds none of its code. VisionJudge's images are CC0 or public domain, credited in mobile_agent/evals/vision/manifest.json.
License
MIT, copyright Radish Retail, LLC. See LICENSE. Report a vulnerability as SECURITY.md says.