A collection of tools, examples, and guides for market research and competitive intelligence using AI and automation.
A Model Context Protocol (MCP) server that provides access to Google's Maps Grounding API with Gemini AI. Search for places, restaurants, businesses, and get location-based information with AI-generated responses backed by Google Maps data.
- AI-Powered Maps Search with natural language queries
- Location-aware searches using latitude/longitude
- Grounding metadata with place IDs, URIs, and structured data
- Support for multiple Gemini models
- Interactive map widgets
cd google-maps-mcp-server
npm install
npm run build
Configure in your Claude Code or MCP-compatible client:
{
"mcpServers": {
"google-maps-grounding": {
"command": "node",
"args": ["/path/to/google-maps-mcp-server/build/index.js"],
"env": {
"GOOGLE_GEMINI_API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}
A real-world example of using the Google Maps MCP server to research local markets and generate competitive intelligence reports.
This example demonstrates:
- Market research with Google Maps data
- Competitive landscape analysis
- Review volume comparison
- Geographic coverage insights
- Actionable recommendations
- Go to Google AI Studio
- Create or select a project
- Generate an API key
- Enable the Gemini API for your project
Have ideas or improvements? Open an issue or submit a pull request!
MIT