AI求职搜索MCP插件

🚀 JobJourney Claude Plugin

A production-ready MCP server for JobJourney with AI job-search tools, local job discovery, and scheduled scraping from Claude.

✨ What It Does

• 🤖 AI job-search workflows for resume fit scoring, cover letters, and CV generation
• 🗂️ Application tracking with saved jobs, notes, status changes, starring, search, and dashboard analytics
• 🔍 Local job discovery with a canonical discovery engine that stores results in local SQLite
• 🌐 Mixed scraping strategy: LinkedIn uses direct HTTP guest scraping, while blocked sites like SEEK use Playwright
• 🏢 ATS expansion for supported providers like Greenhouse and Lever after discovery
• ⏰ Scheduled discovery through the background agent and MCP tools
• 💾 Local storage for jobs, runs, schedules, and discovery reports in ~/.jobjourney/jobs.db

📸 Demo

Use it naturally from Claude:

"Use discover_jobs with keyword full stack, location Sydney, sources linkedin and seek, pages 1."

"Use search_jobs and show me the latest LinkedIn roles in Sydney."

"Use schedule_discovery to run every day at 9am for backend jobs in Melbourne."

"Evaluate how well my resume matches this job and draft a cover letter."

If you want product screenshots or GIFs later, this is the right place to add them.

📦 Installation

Option A: Claude Code

claude mcp add jobjourney \
  -e JOBJOURNEY_API_URL=https://server.jobjourney.me \
  -e JOBJOURNEY_API_KEY=jj_your_api_key_here \
  -e TRANSPORT=stdio \
  -- npx -y jobjourney-claude-plugin@latest

Option B: Claude Desktop

Add this to your Claude Desktop config file (claude_desktop_config.json):

{
  "mcpServers": {
    "jobjourney": {
      "command": "npx",
      "args": ["-y", "jobjourney-claude-plugin@latest"],
      "env": {
        "JOBJOURNEY_API_URL": "https://server.jobjourney.me",
        "JOBJOURNEY_API_KEY": "jj_your_api_key_here",
        "TRANSPORT": "stdio"
      }
    }
  }
}

Playwright prerequisite

For local browser-backed sources like SEEK, install a browser once:

npx playwright install chromium

🚀 Quick Start

1. Connect the plugin

claude mcp add jobjourney \
  -e JOBJOURNEY_API_URL=https://server.jobjourney.me \
  -e JOBJOURNEY_API_KEY=jj_your_api_key_here \
  -e TRANSPORT=stdio \
  -- npx -y jobjourney-claude-plugin@latest

2. Log in to browser-backed sites when needed

From Claude:

Use login_jobsite with site "seek"

3. Run discovery

From Claude:

Use discover_jobs with keyword "full stack", location "Sydney", sources ["linkedin", "seek"], pages 1

4. Query the stored results

Use search_jobs with source "linkedin" and limit 5

5. Schedule it

Use schedule_discovery with keyword "full stack", location "Sydney", time "09:00", sources ["linkedin", "seek"]

🔍 Source Support

🧠 How Local Discovery Works

The local discovery engine lives under src/discovery and uses one canonical job model across all sources.

LinkedIn

1. Fetch guest search results
2. Fetch guest job detail HTML for each posting
3. Extract description, metadata, and external apply URL
4. Detect ATS from the external URL
5. Expand supported ATS companies

SEEK

1. Launch Playwright
2. Use the browser-backed source flow
3. Normalize results into the same canonical job schema

Storage

Local runs are stored in:

• jobs DB: ~/.jobjourney/jobs.db
• agent heartbeat: ~/.jobjourney/agent-heartbeat.json

The database stores:

• discovered jobs
• scrape/discovery runs
• schedules

🛠 Key Tools

This MCP exposes a broad JobJourney toolset. For local discovery, these are the most important ones:

And the broader platform also includes:

• job tracking
• AI fit evaluation
• cover letter and CV generation
• dashboard analytics
• coffee chat networking
• profile and document management

🏗 Architecture

src/
  index.ts                # FastMCP server entrypoint
  tools/                  # MCP tool registration
  discovery/              # Canonical local discovery engine
    core/                 # orchestration and job types
    sources/              # linkedin guest, seek browser, planned sources
    ats/                  # ATS detection and supported crawlers
    analysis/             # salary, tech stack, PR, experience enrichment
    fallback/             # optional company career-page probing
    storage/              # discovery persistence adapters
    parity/               # TS vs Python parity harness
  scraper/                # legacy browser scraper layer, being phased down
  storage/sqlite/         # SQLite repos and migrations
  agent/                  # background scheduling agent
  config/                 # path and runtime config

Built with FastMCP, TypeScript, Zod, Playwright, and SQLite.

⚙️ Environment Variables

🧪 Development

git clone https://github.com/Rorogogogo/jobjourney-claude-plugin.git
cd jobjourney-claude-plugin
npm install
npx playwright install chromium
npm run build
npm test
npm run typecheck

Useful local commands:

npm run start
npm run agent
npm run parity:discovery
npm run parity:live-smoke

🤝 Contributing

Contributions are welcome. Useful contribution areas right now:

• tightening the canonical src/discovery architecture
• implementing indeed and jora
• improving live parity coverage
• reducing remaining legacy surface in src/scraper

Standard flow:

git checkout -b feature/my-change
npm test
npm run typecheck
git commit -m "feat: my change"

🔗 Links

• Website
• npm package
• GitHub repository
• Issues

📄 License

AGPL-3.0 + Commercial © JobJourney

License

This project is dual-licensed:

• 🆓 AGPL-3.0 — free for personal use, open-source forks, and projects themselves open-sourced under a compatible license. See LICENSE.
• 💼 Commercial license — required for closed-source products, proprietary internal tools, or paid / hosted services where AGPL-3.0's copyleft and network-use obligations don't fit. See COMMERCIAL.md.

Do I need a commercial license?

For a commercial license, contact Robert Wang at xwang.robert@gmail.com — see COMMERCIAL.md for what to include in your request.