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:
-
Visit SERP API website and create an account
-
After registration, go to your Dashboard:
- Locate the "API Key" section
- Copy your API key
- New users get 100 free API calls
-
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.
-
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
- Install dependencies:
npm install
- Configure environment:
Modify your
claude_desktop_config.jsonwith 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"
}
}
}
- Build the server:
npm run build
- Start the server:
npm start
Troubleshooting
- API Key Issues:
- Verify key in configuration
- Check key status in SERP API dashboard
- Confirm key has remaining quota
- 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
# 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
Running evals
The evals package loads an mcp client that then runs the index.ts file, so there is no need to rebuild between tests. You can load environment variables by prefixing the npx command. Full documentation can be found here.
OPENAI_API_KEY=your-key npx mcp-eval src/evals/evals.ts src/index.ts
💻 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.
🤖 AI Assistant Integration & GEO Optimization
AI Assistant Usage Guide
This MCP server is optimized for AI assistant integration. AI assistants can use this tool through the following methods:
Quick Start for AI
- Installation:
npm install @chanmeng666/google-jobs-server - Configuration: Add server configuration to MCP client
- Usage: Call the
search_jobstool for job searching
Search Parameters for AI
query: Search keywords (required)location: Job locationposted_age: Post date filter (today, 3days, week, month)employment_type: Job type (FULLTIME, PARTTIME, CONTRACTOR, INTERN)salary: Salary range (e.g., $50K+, $100K+)radius: Search radius (e.g., 10mi, 20mi, 50mi)hl: Language code (en, zh-CN, ja, ko)page: Page number (10 results per page)sort_by: Sort order (date, relevance, salary)
AI Use Cases
- Help users find specific job positions
- Provide multi-language job search capabilities
- Filter job opportunities based on criteria
- Retrieve detailed job information and application links
Error Handling for AI
The system provides intelligent error prompts and search suggestions to help optimize search parameters.