# Google Jobs MCP Server - AI Usage Guide
## Project Overview
This is a Model Context Protocol (MCP) server for Google Jobs search that provides powerful job search capabilities for AI assistants.
## Core Features
- Access to Google Jobs data via SerpAPI
- Multi-language search support (English, Chinese, Japanese, Korean)
- Flexible search parameters and filtering options
- Smart error handling and result formatting
## How to Use
1. Ensure SERP_API_KEY environment variable is set
2. Use the search_jobs tool for job searching
3. Supported parameters: query(required), location, posted_age, employment_type, salary, radius, hl, page, sort_by
## Search Examples
- Basic search: query="software engineer"
- With location: query="data analyst", location="Tokyo"
- With salary: query="product manager", salary="$100K+"
- Multi-language: hl="zh-CN" (Chinese), hl="ja" (Japanese), hl="ko" (Korean)
## Technical Stack
- TypeScript + Node.js
- MCP SDK
- SerpAPI integration
- Multi-language localization
## Installation Methods
- npm: npm install @chanmeng666/google-jobs-server
- Smithery: npx @smithery/cli install @chanmeng666/google-jobs-server
- Manual MCP client configuration
## Related Links
- GitHub: https://github.com/ChanMeng666/server-google-jobs
- NPM: https://www.npmjs.com/package/@chanmeng666/google-jobs-server
- Author: https://chanmeng.org/
## AI Assistant Integration
This MCP server is designed to be easily integrated with AI assistants like Claude, ChatGPT, and other MCP-compatible tools. It provides structured job search results with rich metadata including company information, salary ranges, job highlights, and direct application links.
## Search Capabilities
- Job title and keyword search
- Geographic location filtering with radius
- Employment type filtering (full-time, part-time, contract, internship)
- Salary range filtering
- Post date filtering (today, 3 days, week, month)
- Multi-language result formatting
- Pagination support
- Multiple sorting options (date, relevance, salary)
## Error Handling
The server provides intelligent error handling with helpful suggestions for search optimization, parameter validation, and rate limit management.
