Career Kit

Name: Career Kit
Author: W7uuuuz

by W7uuuuzversion 0.3.0i★ –iRuns on your computer

Registry nameio.github.W7uuuuz/career-kit

Install

Overview

Description from the maker (original English)

AI career coach: real job-market gap analysis, staged roadmap, check-in tasks, application funnel.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiVery new↓ 323/wk · ★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: CAREER_KIT_DATA_DIR, CAREER_KIT_ASSETS_DIR

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "career-kit": {
      "command": "uvx",
      "args": [
        "career-kit"
      ],
      "env": {
        "CAREER_KIT_DATA_DIR": "your-value",
        "CAREER_KIT_ASSETS_DIR": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add career-kit --env CAREER_KIT_DATA_DIR=your-value --env CAREER_KIT_ASSETS_DIR=your-value -- uvx career-kit

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "career-kit": {
      "command": "uvx",
      "args": [
        "career-kit"
      ],
      "env": {
        "CAREER_KIT_DATA_DIR": "your-value",
        "CAREER_KIT_ASSETS_DIR": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "career-kit": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "career-kit"
      ],
      "env": {
        "CAREER_KIT_DATA_DIR": "your-value",
        "CAREER_KIT_ASSETS_DIR": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

CAREER_KIT_DATA_DIR env
Override the program data directory (default: ~/.career-kit)
CAREER_KIT_ASSETS_DIR env
Override the generated assets directory (default: ~/CareerKit)

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 10, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account W7uuuuz, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 18973 servers in this category
Published to the registry more recently than 97% of the other 18973 servers in this category
Basic checks equal to or better than 100% of the other 18973 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Career Kit safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.3.0) reached the registry yesterday.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Valuein — SEC EDGAR Fundamentals & Smart-Money Data

Alternatives

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Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Career Kit

English | 中文

不知道做什么工作？Career Kit 是一个 AI 职业陪练 MCP 服务——以真实岗位数据和同背景案例为依据，帮你确定方向、看清差距、拆解出当下即可执行的一步。可接入 Claude Code / Cursor / opencode / Codex。

先看同背景的人去了哪，企业招聘需要什么 → 再看你差在哪 → 今天先做什么。

演示数据为合成，不含真实用户简历或报告。

点我 → 3分钟在线模拟体验

无需安装，像和 AI 教练对话一样走完整个流程；演示为固定选项对话与合成数据，真实使用请安装到本地。

示例产物 · 完整文档

30 秒看懂：从起步到上岸的 6 个阶段

每个阶段都会交付实际产物，顺序固定、节奏自定：

建档摸底——通过简历和对话，弄清用户真实水平和目标，得到一份真实的用户档案。
市场调研——抓取真实岗位与面经，得到一份带来源链接的市场报告，看看同层次的其他人是怎么做的。
差距分析——对照市场要求与用户现状，得到一份可执行的差距清单。
路线图规划——把用户的目标拆成有顺序的阶段和任务，得到一张可打卡的职业地图。
执行打卡——逐项推进任务，完成即沉淀为能力证据。
持续陪跑——周期复盘打卡 / 阶段 / 求职漏斗，目标变化时随时重新规划。

如果这个项目对你有帮助，欢迎点一个 Star。

支持哪些网站

数据来自 27 个已收录数据源，支持 互联网/制造/能源/硬件 行业（持续新增，欢迎社区PR更新）：

企业官网招聘专区（24 个）：字节 / 腾讯 / 阿里 / 百度 / 美团 / 网易 / 京东 / 快手 / 拼多多 / 小红书 / B站 / 小米 / 滴滴 / 携程等互联网公司，以及华为 / 京东方 / 三一 / 中车 / 汇川技术 / 阳光电源等制造 / 能源 / 硬件企业——互联网之外的方向也能做差距分析。
招聘平台：BOSS 直聘，公开岗位薪资范围，薪酬行情以此为依据。
经验帖：来自牛客网面经与 GitHub 上岸经验库，用于佐证「同等背景的人如何走通」。

[查看全部数据源、数据类型与使用教程 →](https://github.com/W7uuuuz/Career-kit/blob/main/docs/scrapers.md) · 新数据源欢迎社区补充（贡献指南，参考 src/scrapers/_template/）；抓取仅读取公开页面。

工作方式

安装 Career Kit 并在 Agent 中注册 MCP 服务后，对话直接说「使用 Career Kit」即可启动。斜杠命令 /career-kit 为 Claude Code / opencode 专属，且仅当会话在源码仓库目录内打开时可用；其余 Agent（含 ChatGPT 桌面客户端、豆包工作）用对话启动即可。

你：我想转 AI Agent 方向

Career Kit：分析差距 → 拉取真实岗位数据 → 设计路线图 → 拆成阶段任务

你：我不知道想做什么，帮我选个方向 Career Kit：三轴定位（能力 × 兴趣 × 真实岗位数据）→ 候选方向 → 引导选定

你：这步做完了 Career Kit：打卡记录 → 沉淀能力证据 → 阶段完成自动审计

你：我拿到大厂面试了 Career Kit：事件触发洞察 → 重估计划 → 调整阶段任务

底层是 41 个 MCP 工具，覆盖建档、档案管理、数据获取（含市场调研）、分析规划、任务与漏斗、洞察产出六大类。完整清单与调用时机见工具总览。

与其他求职工具的对比

	普通AI对话	求职网站	Career Kit
真实岗位数据	无	有	有（可抓取，含薪资）
个性化路线图	泛泛而谈	无	分阶段 + 里程碑 + 完成标准
阶段任务打卡	无	无	有（按次 / 按天 / 按比例）
进度追踪调整	无	无	阶段审计 + 事件洞察
数据本地、可自托管	否	否	是

隐私与数据边界

程序数据存储在本地 ~/.career-kit/（档案主存储为 career-kit.db，JSON 为兼容镜像），报告与路线图存储在 ~/CareerKit/，不会发送到任何外部服务器。
知识库是用户自有资产，不随包升级丢失。
抓取只读取公开岗位 / 面经页面，请遵守来源站点条款与频率限制；本项目不提供内推、保 offer 或任何就业承诺。详见 DISCLAIMER.md。

适合谁

未就业大学生；没有职业规划；不知道做什么工作；想转行但不知从何入手；或正在求职但屡屡碰壁说不清差距所在

并且能使用 Claude Code / Codex / opencode / ChatGPT 桌面客户端 / 豆包工作（PC 客户端）这类支持本地 MCP 的 AI 工具——满足这些条件，Career Kit 就值得试。

快速开始

推荐：把安装交给你的 AI Agent。 将项目地址发给 Claude Code / Codex / opencode 等终端 Agent，它会自行阅读文档完成安装、注册与自检：

帮我安装并注册 Career Kit：https://github.com/W7uuuuz/Career-kit

按其 README「快速开始」用 pipx（或 uvx）安装，注册为本地 MCP 服务，运行 career-kit-doctor 自检，通过后告诉我结果。

手动安装（pipx / uvx）与 GUI 客户端注册 - 点击展开

pipx 安装（将命令装进独立环境，不污染系统 Python）：

# 安装 pipx（只需一次）

python -m pip install --user pipx python -m pipx ensurepath

安装 Career Kit

pipx install career-kit

uvx 免安装（已安装 uv 时可跳过安装）：

uvx --from career-kit career-kit-doctor   # 安装自检

uvx --from career-kit career-kit # 启动 MCP 服务（stdio）

Agent	配置
Claude Code	`claude mcp add career-kit -- career-kit`
Codex CLI	`codex mcp add career-kit -- career-kit`
opencode	`{"mcp": {"career-kit": {"type": "local", "command": ["career-kit"], "enabled": true}}}`
Cursor / Windsurf	command=`career-kit`
ChatGPT 桌面客户端	Settings → MCP servers → Add server，STDIO，command=`career-kit`
豆包工作（PC 客户端）	连接器中心 → 新建自定义插件，STDIO，命令=`career-kit`

验证安装

career-kit-doctor

全部通过后，在新会话中对 Agent 说「调用 start_session」，收到「欢迎使用 Career Kit」即接入成功。

源码安装 / 一键安装脚本 / 本地控制台 / 常见问题，见安装指南。

文档

文档地图：所有文档的唯一入口
LLM 使用指南：工作流、规则、常见场景
工作流详解：各阶段前置条件、输入输出
安装指南：源码安装、一键脚本、本地控制台、常见问题
工具总览：41 个 MCP 工具的唯一事实源
企业库：已收录企业、数据源说明
知识库：目录结构、文件格式
示例：可交互职业地图与场景示例
贡献指南 · 行为准则 · 安全策略

贡献

欢迎 issue、PR 与新的企业数据源。开始前请先阅读 CONTRIBUTING.md；新增企业源请参考 src/scrapers/_template/。

如果这个项目帮你少走了弯路，一个 Star 会帮助更多求职者发现它。

开源协议

MIT

Career Kit

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Valuein — SEC EDGAR Fundamentals & Smart-Money Data

README from the maker

Career Kit

点我 → 3分钟在线模拟体验

30 秒看懂：从起步到上岸的 6 个阶段

支持哪些网站

工作方式

与其他求职工具的对比

隐私与数据边界

适合谁

快速开始

安装 Career Kit

验证安装

文档

贡献

开源协议