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

Tauri Agent Kit

作者:Firzus版本 0.1.0-alpha.2i★ –i在你的电脑上运行
注册名称io.github.Firzus/tauri-agent-kit

安装

概览

作者提供的说明(英文原文)

Unofficial Windows WebView2 diagnostics and automation for Tauri 2.12 development builds.

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

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

  • 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": {
    "tauri-agent-kit": {
      "command": "npx",
      "args": [
        "-y",
        "tauri-agent-kit"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add tauri-agent-kit -- npx -y tauri-agent-kit

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": {
    "tauri-agent-kit": {
      "command": "npx",
      "args": [
        "-y",
        "tauri-agent-kit"
      ]
    }
  }
}

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": {
    "tauri-agent-kit": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "tauri-agent-kit"
      ]
    }
  }
}

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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 Firzus 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 32712 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32712 个服务器的 72% 更新
  • 基础检查结果等于或优于此分类中其他 32712 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

Tauri Agent Kit 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(0.1.0-alpha.2)于15天前进入注册中心。

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, Aiterm MCP

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前天更新
安装

Aiterm MCP

作者:kitepon

Persistent terminals and one launcher for Claude, Codex, Grok, Cursor, and Antigravity harnesses.

在你的电脑上运行今天更新
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。

agent-skills

An opinionated development stack for coding agents: you describe what you want, the agent asks only the decisions that are yours, builds it test-first, has it reviewed independently, shows it working, and ships only when you say so.

The stack is a set of skills that call each other, kept in skills/stack/. Next to it, the collection offers standalone skills for engineering, web, and game work that you can install one at a time. These are independent, community-maintained skills, not official vendor products.

The stack · How it works · Get started · Choose by task · Requirements · All skills · Contribute

The stack

Agents fail in predictable ways: they build before understanding the request, ask you what the repository already says, grade their own work, bury you in jargon or in ceremony, and publish without asking. The stack answers each failure with an opinion.

  • Understand before building. The agent restates the outcome and how you will both know it works before it changes any code.
  • Facts are looked up; only your decisions are asked. The agent reads the code, history, and documentation first. It asks only about choices you own (behavior, scope, cost, a step that is hard to undo) and takes the technical ones itself, telling you which it took and why.
  • Ceremony matches the work. The agent sizes each request as Quick, Small, or Project and tells you why. A typo needs no issue; a feature gets one; a large effort gets a project.
  • No agreement, no code. Beyond a Quick fix or a Linear issue that is ready to start, the agent builds only what you agreed to.
  • Linear holds the work. Each feature or fix is a Linear issue and each large effort a Linear project, written so that any later session continues from it.
  • One unit per session. Large work advances in units that one session can finish, check, and hand over as a change you can review in one sitting. Each conversation does one thing (a task, a fix, an investigation, an experiment, an interview, or a take-stock), then stops; the next starts from Linear. The agent plans only as far as what is known, and takes stock with you whenever a result changes the way ahead.
  • Tests first. Each behavior starts with a failing test wherever a test boundary exists.
  • Evidence over claims. Independent read-only reviewers check requirements, standards, and correctness, and the agent shows you the result running.
  • Explained, not simplified. The agent keeps the real technical terms, defines each one the first time it appears, and presents every decision with its costs, whether it can be undone, and a recommendation.
  • You hold the keys. Shipping (push and pull request), merging, and deploying each wait for your explicit yes.

General rules (communication, authorization, delegation, verification, Git) live once in a shared operating policy; each skill holds only what is specific to its task.

How it works

flowchart LR

request([Your request]) --> work work -.->|bug, research, experiment| specialist{{"debug · research · prototype"}} specialist -.-> work work --> size{{Quick · Small · Project}} size -->|Quick| build[Build test-first] size -->|Small or Project| interview[interview, when decisions are open] interview --> agree([You agree]) agree --> build build --> review[code-review] review --> show([Result shown working]) show --> ship([Ship when you say yes])

You start everything with /work and your request, in your own words. The agent first finds the cause of a bug or gathers the evidence a decision needs, then sizes the work:

SizeWhenWhat you do
QuickThe request says everything that matters and is easy to undoCheck the result, then say whether to ship
SmallOne unit: fits one session and one reviewable changeAnswer the decisions, agree on the Linear issue, check the result, say whether to ship
ProjectSeveral units, or questions that need research, an experiment, or a later decision firstAgree on a Linear project and its first issues; then start a new conversation for each unit with /work on the project or one of its issues: the agent runs that unit, asks for your decisions and review, names the next one, and takes stock with you when results change the plan

Small and Project work need Linear: when the agent cannot reach it, it stops and tells you how to reconnect. Quick work does not use Linear.

Get started

You need a coding agent that supports skills and subagents, and Node.js and npm for the installer.

  1. Open a terminal in your project and install the stack:
   npx skills add Firzus/agent-skills --skill setup-harness work interview debug prototype research code-review

The installer asks for your agent and destination. It installs in the project by default; add -g to install globally.

  1. Run setup-harness once. It installs the shared operating policy in your personal instructions, after showing you the complete change. The stack relies on it.
  2. Run /work with a small request, for example /work fix the typo in the confirmation email. Check the result it shows you, then tell it whether to ship.

If an invoked skill is not found, check the installation location and restart the session.

Browse, update, or remove installed skills

# Browse the collection without installing it

npx skills add Firzus/agent-skills --list

Choose skills interactively

npx skills add Firzus/agent-skills

Manage installed skills

npx skills list npx skills update work npx skills remove work

See the skills CLI documentation for supported agents, installation modes, and troubleshooting.

Choose by task

Some skills work on their own, without the rest of the stack.

I want to…Start withNeeds the stack
Take a request from idea to a shipped changeworkYes
Settle open decisions on a plan or featureinterviewNo
Review an existing change without modifying itcode-reviewNo
Diagnose a bug or verify an authorized fixdebugNo
Compare interface ideas or test feasibilityprototypeNo
Investigate a question across multiple sourcesresearchNo
Find refactors worth doingimprove-architectureNo
Audit security boundaries in a codebasesecurity-reviewNo
Explain how shipped software works from its filesreverse-engineerNo

Stack and engineering skills assume the shared operating policy, even when used alone.

Requirements

Installing instructions does not install every tool they describe or authorize every action they can perform. Check the selected skill's prerequisites first.

WorkflowAdditional requirements
Stack and engineering skillsThe shared operating policy installed by setup-harness; these skills rely on it and repeat only its safety boundaries
The stackGit in the project; a Linear workspace the agent can read and write (for example through the Linear MCP server) for Small and Project work; GitHub CLI or another way to open pull requests to ship
Independent reviews and delegated researchAn agent with subagent support
Figma workflowsThe Figma integration, account access, and approval for external writes
Chrome debugging and automationGoogle Chrome and the chrome-devtools CLI from the npm package chrome-devtools-mcp; the skill proposes the global install and waits for approval
Cloudflare operationsThe cf CLI from the npm package cf (open beta) and a Cloudflare account; the skill proposes the global install and waits for approval
Video reportsFFmpeg and access to the application being recorded
RunbooksBash to run them (Git Bash on Windows); an authenticated GitHub CLI to set secrets and variables, otherwise the runbook lists them to set by hand
YouTube transcriptionAvailable captions, or the audio/transcription tools required by the selected route
Image generationAn authenticated Codex CLI setup with the image-generation capability described by the skill
Reverse engineeringThe reverse-engineer MCP server for the fast route (Node.js 24.11+); the skill installs Ghidra, jadx or ilspycmd per user when a task needs them

Host support for installing skills does not guarantee identical behavior or tool availability. Explicit-invocation workflows such as work, improve-architecture, and setup-harness run only when you select them.

Personal harness instructions

setup-harness asks which harnesses and languages to configure, previews the complete changes, and waits for approval. It adds personal instructions without replacing the built-in system prompt and creates no backups. Existing unrelated instructions are preserved.

HarnessPersonal instruction destination
Codex (app and CLI)One shared AGENTS.md per CODEX_HOME (default ~/.codex)
CursorUser Rules in Customize > Rules; manual handoff if UI editing is unavailable
Claude Code~/.claude/CLAUDE.md

Cursor's project AGENTS.md is not a global substitute. See the native destinations for loading limits, and review the shared operating policy before running this skill.

Tauri companion tooling

The tauri skill remains the agent-facing entry point. Its optional Windows diagnostic application, tauri-agent-kit, is maintained in this repository but is not an installable skill. Installing the skill does not install the MCP server or Rust plugin: the skill proposes the integration when a compatible project lacks it, and installs it only after approval. Check the kit's compatibility and publication status before integrating it into an application.

Reverse-engineer companion server

The reverse-engineer skill works with shell commands alone, but it is faster and more economical with its read-only MCP server, mcp/reverse-engineer. Installing the skill does not install the server: register its npm package, reverse-engineer (alpha), with your agent, as described in its README.

All skills

Stack
SkillPurpose
code-reviewIndependent read-only review of a change on requirements, standards, and correctness.
debugEvidence-led diagnosis and verification of authorized bug fixes.
interviewSettle the user's decisions in short question rounds, each explained and with a recommendation.
prototypeAnswer a design or feasibility question through an experiment.

| research

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