google-trends-mcp-server

donghai88/google-trends-mcp-server

3.3

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A Model Context Protocol (MCP) server for Google Trends analysis, enabling AI assistants to analyze search trends and provide data-driven insights.

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Google Trends MCP Server

PyPI version Python 3.8+ License: MIT

English | 中文

English

A Model Context Protocol (MCP) server for Google Trends analysis. This server enables AI assistants to analyze search trends, discover market opportunities, and provide data-driven insights in real-time.

🚀 Features

  • 📊 Fetch and analyze Google Trends search data
  • 📈 Compare keyword popularity and trends
  • 🔍 Identify rising search queries and market opportunities
  • 💡 Provide data-driven marketing strategy recommendations
  • 🌐 Support for multiple languages and regions
  • ⚡ One-click installation and setup via uvx

📦 Installation

Using uvx (Recommended)

uvx google-trends-mcp-qihoo
# or
uvx --from google-trends-mcp-qihoo google-trends-mcp-qihoo

Using pip

pip install google-trends-mcp-qihoo

🔧 Usage

Agent Client Configuration

Add this to your agent client configuration file:

{
  "mcpServers": {
    "google-trends": {
      "command": "uvx",
      "args": ["google-trends-mcp-qihoo"]
    }
  }
}

Direct Usage

# Using uvx
uvx google-trends-mcp-qihoo

# Or after pip installation
pip install google-trends-mcp-qihoo
google-trends-mcp-qihoo

🛠️ Available Tools

google_trends_analysis

Analyze Google Trends data and generate comprehensive reports.

Parameters:

  • keywords (required): List of keywords, e.g., ["iPhone", "Android"]
  • timeframe (optional): Time range, default "today 3-m"

Time Range Options:

  • "today 3-m" - Last 3 months
  • "today 12-m" - Last 12 months
  • "today 5-y" - Last 5 years
  • "all" - All time

Example Usage:

{
  "name": "google_trends_analysis",
  "arguments": {
    "keywords": ["coffee", "tea", "energy drinks"],
    "timeframe": "today 12-m"
  }
}

📊 Report Content

Generated reports include:

  1. 📈 Average Interest Comparison - Keyword popularity rankings
  2. 📊 Trend Analysis - Recent trend changes with percentages
  3. 🚀 Rising Search Queries - Discover new market opportunities
  4. 💡 Strategic Recommendations - Data-driven marketing insights

🌐 Configuration File Locations

Claude Desktop

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%/Claude/claude_desktop_config.json

Other Agent Clients

Please refer to your client's documentation for MCP server configuration.

⚠️ Important Notes

  • Google Trends API has rate limits, please use moderately
  • If you encounter 429 errors, please retry later
  • Use popular keywords for better results
  • Supports up to 5 keywords per analysis (Google Trends API limit)

🎬 Demo

Sample Analysis Report

# 📊 Google Trends Analysis Report

**Keywords**: iPhone, Android
**Time Range**: today 12-m
**Generated**: 2024-09-11

## 📈 Average Interest Comparison

🥇 **iPhone**: 65.2 points
🥈 **Android**: 43.8 points

## 📊 Trend Analysis

- **iPhone**: 📈 Steady Rise (+12.5%)
- **Android**: ➡️ Relatively Stable (-2.1%)

## 🚀 Rising Search Queries (Market Opportunities)

### 🔍 Rising queries for 'iPhone':
- **iPhone 15 Pro** 🚀 Breakout growth
- **iPhone camera** 📈 +150%
- **iPhone battery life** 📈 +89%

## 💡 Data-Driven Strategy Recommendations

### 🎯 Core Keyword Strategy
- **Primary keyword**: 'iPhone' (highest average interest: 65.2 points)
- Recommend focusing marketing and SEO efforts on this keyword

### 🌟 Emerging Opportunities
- Pay attention to rising queries like 'iPhone 15 Pro' - they represent new market demand
- Can be used for content creation, long-tail keyword optimization, and product development

🔧 Technical Architecture

┌─────────────────┐    ┌──────────────────┐    ┌─────────────────┐
│   AI Assistant  │────│  MCP Protocol    │────│  Google Trends  │
│   (Claude/etc)  │    │                  │    │   MCP Server    │
└─────────────────┘    └──────────────────┘    └─────────────────┘
                                                          │
                                                          ▼
                                               ┌─────────────────┐
                                               │   pytrends      │
                                               │   (Google API)  │
                                               └─────────────────┘

🤔 FAQ

Q: Why do I get 429 errors?

A: Google Trends API has rate limits. Solutions:

  • Reduce request frequency
  • Use more popular keywords
  • Retry later

Q: What time ranges are supported?

A: Supported formats:

  • "today 3-m" - Last 3 months
  • "today 12-m" - Last 12 months
  • "today 5-y" - Last 5 years
  • "all" - All time

Q: How many keywords can I analyze at once?

A: Maximum 5 keywords per analysis (Google Trends API limitation).

🗺️ Roadmap

  • Geographic filtering support
  • Related topics analysis
  • Real-time trend monitoring
  • Data visualization features
  • Multi-language and region support

🔨 Development

Local Development Setup

# Clone repository
git clone https://github.com/qihoo/google-trends-mcp-server.git
cd google-trends-mcp-server

# Install dependencies
pip install -e .

# Run server
google-trends-mcp-qihoo

Build and Publish

# Build package
python -m build

# Publish to PyPI
python -m twine upload dist/*

📝 Dependencies

  • mcp - Model Context Protocol SDK
  • pytrends - Google Trends API client

📄 License

MIT License

🤝 Contributing

Pull requests and issues are welcome!

📞 Support

For questions, please create an issue on GitHub Issues.

🙏 Acknowledgments

  • pytrends - Google Trends API client
  • MCP - Model Context Protocol
  • Google Trends - Data provider

中文

一个基于 Model Context Protocol (MCP) 的 Google Trends 分析服务器，可以获取和分析 Google 搜索趋势数据。让AI助手能够实时分析搜索趋势，发现市场机会，提供数据驱动的洞察。

🚀 功能特性

  • 📊 获取和分析 Google Trends 搜索数据
  • 📈 对比关键词热度和趋势变化
  • 🔍 识别上升搜索词和市场机会
  • 💡 提供基于数据的营销策略建议
  • 🌐 支持多语言和地区设置
  • ⚡ 通过 uvx 一键安装和运行

📦 安装

使用 uvx (推荐)

uvx google-trends-mcp-qihoo
# 或者
uvx --from google-trends-mcp-qihoo google-trends-mcp-qihoo

使用 pip

pip install google-trends-mcp-server

🔧 使用方法

在 Agent 客户端中配置

在你的 agent 客户端配置文件中添加：

{
  "mcpServers": {
    "google-trends": {
      "command": "uvx",
      "args": ["google-trends-mcp-qihoo"]
    }
  }
}

本地直接运行

# 使用 uvx
uvx google-trends-mcp-qihoo

# 或者使用 pip 安装后运行
pip install google-trends-mcp-qihoo
google-trends-mcp-qihoo

🛠️ 可用工具

google_trends_analysis

分析 Google 搜索趋势数据并生成报告。

参数:

  • keywords (必需): 关键词列表，例如 ["iPhone", "Android"]
  • timeframe (可选): 时间范围，默认 "today 3-m"

时间范围选项:

  • "today 3-m" - 最近 3 个月
  • "today 12-m" - 最近 12 个月
  • "today 5-y" - 最近 5 年
  • "all" - 所有时间

示例调用:

{
  "name": "google_trends_analysis",
  "arguments": {
    "keywords": ["咖啡", "茶", "奶茶"],
    "timeframe": "today 12-m"
  }
}

📊 分析报告内容

生成的报告包含以下部分：

  1. 📈 平均关注度对比 - 各关键词的搜索热度排名
  2. 📊 趋势变化分析 - 最近趋势变化百分比
  3. 🚀 热门上升搜索词 - 发现新的市场机会
  4. 💡 策略建议 - 基于数据的营销建议

🌐 配置文件位置

Claude Desktop

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%/Claude/claude_desktop_config.json

其他 Agent 客户端

请参考对应客户端的文档配置 MCP 服务器。

⚠️ 注意事项

  • Google Trends API 有频率限制，请适度使用
  • 如遇到 429 错误，请稍后重试
  • 建议使用通用关键词以获得更好的结果
  • 支持最多 5 个关键词同时分析

🔨 开发

本地开发设置

# 克隆仓库
git clone https://github.com/yourusername/google-trends-mcp-server.git
cd google-trends-mcp-server

# 安装依赖
pip install -e .

# 运行服务器
google-trends-mcp

构建和发布

# 构建包
python -m build

# 发布到 PyPI
python -m twine upload dist/*

📝 依赖

  • mcp - Model Context Protocol SDK
  • pytrends - Google Trends API 客户端

📄 许可证

MIT License

🤝 贡献

欢迎提交 Pull Request 和 Issue！

📞 支持

如有问题，请在 GitHub Issues 中提出。

🎬 演示

分析结果示例

# 📊 Google Trends 分析报告

**关键词**: iPhone, Android
**时间范围**: today 12-m
**生成时间**: 2024-09-11

## 📈 平均关注度对比

🥇 **iPhone**: 65.2分
🥈 **Android**: 43.8分

## 📊 趋势变化分析

- **iPhone**: 📈 稳步上升 (+12.5%)
- **Android**: ➡️ 相对稳定 (-2.1%)

## 🚀 热门上升搜索词 (市场机会)

### 🔍 关于 'iPhone' 的上升搜索词:
- **iPhone 15 Pro** 🚀 爆发式增长
- **iPhone camera** 📈 +150%
- **iPhone battery life** 📈 +89%

## 💡 基于数据的策略建议

### 🎯 核心关键词策略
- **主推关键词**: 'iPhone' (平均关注度最高: 65.2分)
- 建议将此关键词作为核心投放和SEO优化重点

### 🌟 新兴机会点
- 关注'iPhone 15 Pro'等上升搜索词，代表新的市场需求
- 可用于内容创作、长尾关键词优化和新产品开发方向

🔧 技术架构

┌─────────────────┐    ┌──────────────────┐    ┌─────────────────┐
│   AI Assistant  │────│  MCP Protocol    │────│  Google Trends  │
│   (Claude/etc)  │    │                  │    │   MCP Server    │
└─────────────────┘    └──────────────────┘    └─────────────────┘
                                                          │
                                                          ▼
                                               ┌─────────────────┐
                                               │   pytrends      │
                                               │   (Google API)  │
                                               └─────────────────┘

🤔 常见问题

Q: 为什么会遇到429错误？

A: Google Trends API有频率限制。解决方案：

  • 减少请求频率
  • 使用更通用的关键词
  • 稍后重试

Q: 支持哪些时间范围？

A: 支持以下格式：

  • "today 3-m" - 最近3个月
  • "today 12-m" - 最近12个月
  • "today 5-y" - 最近5年
  • "all" - 所有时间

Q: 最多支持多少个关键词？

A: 最多支持5个关键词同时分析（Google Trends API限制）。

🗺️ 路线图

  • 支持地理位置筛选
  • 添加相关话题分析
  • 支持实时趋势监控
  • 添加数据可视化
  • 支持更多语言和地区

🔨 开发

本地开发设置

# 克隆仓库
git clone https://github.com/qihoo/google-trends-mcp-server.git
cd google-trends-mcp-server

# 安装依赖
pip install -e .

# 运行服务器
google-trends-mcp-qihoo

📄 许可证

MIT License

🤝 贡献

欢迎提交 Pull Request 和 Issue！

📞 支持

如有问题，请在 GitHub Issues 中提出。

🙏 致谢

  • pytrends - Google Trends API客户端
  • MCP - Model Context Protocol
  • Google Trends - 提供数据支持