Google Jobs MCP Server

A Model Context Protocol (MCP) server implementation that provides Google Jobs search capabilities via SerpAPI integration. Features multi-language support, flexible search parameters, and smart error handling.

https://github.com/user-attachments/assets/8f6739e1-7db7-4171-88b4-59c6290a4c72

✨ Features

🌍 Multi-Language Support

Full localization support for English, Chinese, Japanese and Korean with automatic language detection and fallback.

🔍 Flexible Search Options

Comprehensive search parameters including:

• Job title and keywords
• Location with radius filtering
• Employment type (full-time, part-time, etc.)
• Salary range filters
• Post date filtering
• Results sorting

💡 Smart Error Handling

• Comprehensive input validation
• Helpful error messages and suggestions
• Automatic search refinement suggestions
• Rate limit handling

📊 Rich Job Details

• Detailed job information formatting
• Company benefits and highlights
• Salary information when available
• Direct application links
• Job posting timestamps

🔄 Advanced Features

• Pagination support
• Multiple sorting options
• Geographic radius search
• Employment type filtering

🔑 SERP API Setup Guide

Before getting started, you'll need to obtain a SERP API key:

1. Visit SERP API website and create an account

2. After registration, go to your Dashboard:

   • Locate the "API Key" section
   • Copy your API key
   • New users get 100 free API calls

3. API Usage Details:

   • Free tier: 100 searches per month
   • Paid plans start at $50/month for 5000 searches
   • Billing based on successful API calls
   • Multiple payment methods: Credit Card, PayPal, etc.

4. Usage Limits:

   • Request Rate: 2 requests/second
   • IP Restrictions: None
   • Concurrent Requests: 5
   • Response Cache Time: 1 hour

👩‍🔧 Solution for MCP Servers Connection Issues with NVM/NPM

Click to view my configuration solution 👉 https://github.com/modelcontextprotocol/servers/issues/76

🚀 Quick Start

1. Install dependencies:

npm install

2. Configure environment: Modify your claude_desktop_config.json with the following content (adjust paths according to your system):

{
  "google-jobs": {
    "command": "D:\\Program\\nvm\\node.exe",
    "args": ["D:\\github_repository\\path_to\\dist\\index.js"],
    "env": {
      "SERP_API_KEY": "your-api-key"
    }
  }
}

3. Build the server:

npm run build

4. Start the server:

npm start

Troubleshooting

1. API Key Issues:

• Verify key in configuration
• Check key status in SERP API dashboard
• Confirm key has remaining quota

2. Search Issues:

• Validate search parameters format
• Check network connectivity
• Verify country/language code support

📦 Installation

Installing via Smithery

To install Google Jobs for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @chanmeng666/google-jobs-server --client claude

Manual Installation

<img/ alt="Server-Google-Jobs image"> @chanmeng666/google-jobs-server

# Using npm
npm i @chanmeng666/google-jobs-server
# or
npm install @chanmeng666/google-jobs-server

# Using yarn
yarn add @chanmeng666/google-jobs-server

# Using pnpm
pnpm add @chanmeng666/google-jobs-server

💻 Tech Stack

📖 API Documentation

The server implements the Model Context Protocol and exposes a job search tool with the following parameters:

• query: Search query string (required)
• location: Job location (optional)
• posted_age: Post date filter (optional)
• employment_type: Job type filter (optional)
• salary: Salary range filter (optional)
• radius: Geographic search radius (optional)
• hl: Language code (optional)
• page: Pagination number (optional)
• sort_by: Sort order (optional)

🔧 Development

# Run in development mode
npm run dev

# Run type checking
npm run typecheck

# Build for production
npm run build

📝 License

This project is MIT licensed.

🙋‍♀ Author

Created and maintained by Chan Meng.