
ApplyGenie
io.github.Eternalcodertanishq3由 GitHub 账号 Eternalcodertanishq3 发布v0.1.3更新于 Oct 24, 2026
Autonomous job application copilot, ATS form filler, and AI mock interview engine.
概览
一个本地桌面 MCP 服务器,可在浏览器中填写求职申请表、跟踪申请进度并进行模拟面试练习。
- 可以做什么
- ApplyGenie 提供约 45 个工具,覆盖五个方面:桌面控制与截图、鼠标键盘输入以及 Windows 窗口管理;本地候选人档案与简历解析;基于 Playwright 的浏览器自动化,可识别表单字段、用档案内容填写并上传简历;本地 SQLite 申请跟踪器,支持状态更新与统计;以及模拟面试引擎,包含编码提示、STAR 回答分析、系统设计阶段和评分卡。
- 适用场景
- 如果你希望助手帮忙处理重复的求职表单、在本地记录投递情况,并练习编码、行为或系统设计面试,可以考虑添加。它仅限桌面环境,面向 Windows 风格的桌面自动化,而非无头服务器场景。
- 运行要求
- 通过 stdio 在本地运行,从 PyPI 安装 applygenie-mcp,例如使用 uvx 或 pip。完整的浏览器自动化需要 browser 附加组件并安装 Playwright Chromium。未声明任何账号、API 密钥或环境变量。需要带显示器的桌面会话。
安装
在 SourceWeft 中
- 打开 控制台中的 ApplyGenie,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
ApplyGenie MCP 🧞♂️
Your magical AI assistant that grants your job wishes.
A production-grade Model Context Protocol (MCP) server for desktop control, autonomous job application form filling, local application tracking, and personalized AI mock interview preparation.
[Python 3.10+] [MCP Protocol] [License: MIT] [PyPI] [Total Downloads] [Monthly Downloads] [ApplyGenie on MCPRush] [M8ven Score] [Changelog]
🌟 What is ApplyGenie?
ApplyGenie bridges the gap between job discovery, form filling, application tracking, and interview readiness. It runs locally as an MCP server, empowering LLM agents (Claude Desktop, Cursor, Antigravity, VS Code, Windsurf) with 48 specialized tools:
- 🖥️ Desktop Control & Vision: Fast screenshot captures (
mss), DPI-corrected mouse navigation, human-like typing jitter (pynput), and native Windows window management (pywinauto). - 📋 Smart Candidate Profile: Local JSON schema storing your education, work experiences, skills, work authorizations, and custom portal answer banks.
- 🌐 AI Browser Automation & Anti-Detection Form Filling: Playwright-powered stealth engine with deep CDP cloaking, native
.toString()code spoofing, discrete WebGL GPU profiles (RTX 3080), deterministic canvas/audio fingerprint protection, Fitts's Law cubic Bézier biometric mouse trajectories, realistic keystroke dynamics with unicode currency fallback, and automated Challenge Radar (Cloudflare Turnstile, reCAPTCHA, hCaptcha). Parses forms across nested iframes & Shadow DOMs, maps candidate profiles, and requires explicit confirmation before submitting. - 📊 Application Tracker & Analytics: Local SQLite database logging every applied role, tracking interview conversion rates, and charting application velocity.
- 🎤 Mock Interview Engine: Socratic coding hint ladders (4 rungs), behavioral STAR coaching ("I" vs "We" ownership ratio analysis), and 4-phase system design state machines.
🚀 Quickstart & Installation
Option 1: Run directly with uvx (Zero manual setup)
Option 2: Install via pip
⚙️ Configuration for MCP Clients
1. Claude Desktop
Add to your %APPDATA%\Claude\claude_desktop_config.json (Windows) or ~/Library/Application Support/Claude/claude_desktop_config.json (macOS):
2. Google Antigravity
Add to your project's .agents/mcp_config.json or ~/.gemini/config/mcp_config.json:
3. Cursor / Windsurf
Navigate to Settings > Features > MCP > Add New MCP Server:
- Name:
ApplyGenie - Type:
command - Command:
uvx applygenie-mcp
🛠️ Complete MCP Tool Reference
1. Desktop Control & Vision
2. Profile & Resume Management
3. Browser Automation & Form Filling
4. Application Tracker
5. Mock Interview Engine
🛡️ Safety & Failsafe Architecture
ApplyGenie enforces strict safety guardrails:
- Mouse Corner Failsafe: Moving the cursor to screen corner
(0, 0)immediately halts all automation. - Rate Limiting: Enforces a maximum action frequency (default: 30 actions/min) and minimum delays to prevent runaway loops.
- Human-in-the-Loop Confirmation: Form submission and destructive actions require explicit
confirm=Trueconfirmation. The copilot fills 95% of the form, pausing for human review. - Local Data Storage: All candidate profile data, resume caches, and application records stay on your local disk at
~/.applygenie/. No telemetry, no cloud sync. - Key Combo Shield: Dangerous system combinations (
alt+f4,ctrl+alt+del) are blocked by default.
🧪 Running Tests
📄 License
This project is licensed under the MIT License — see the LICENSE file for details.
Developed with ❤️ by Tanishq Mangal ([email protected]).
来源:README.md,提交 0fd31e9
工具
0版本历史
2- v0.1.3最新Sep 19, 2026
- v0.1.1Sep 17, 2026
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