Business reviews and search
## Yelp MCP Server: Local Business Intelligence for Applications The **Yelp MCP Server** integrates Yelp's comprehensive local business database directly into Google Antigravity, enabling AI assistants to search businesses, access reviews, and retrieve detailed venue information programmatically. This integration brings the world's largest repository of local business data and consumer reviews to your development workflow for location-aware applications. ### Why Yelp MCP? - **Massive Business Database**: Access information on millions of businesses across restaurants, services, retail, and local venues worldwide - **Rich Review Data**: Leverage authentic consumer reviews with sentiment, ratings, and detailed feedback for decision-making - **Business Details**: Retrieve comprehensive information including hours, photos, menus, amenities, and contact details - **Category Intelligence**: Search across 1000+ business categories with precise filtering and location-based results - **Transaction Integrations**: Access delivery, pickup, and reservation capabilities for supported businesses ### Key Features #### 1. Business Search ```python from anthropic import Anthropic client = Anthropic() response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "Find the top-rated coffee shops within 1 mile of downtown San Francisco that are open now" }], tools=[{ "name": "yelp_search", "description": "Search local businesses" }] ) ``` #### 2. Business Details ```python # Get comprehensive business information response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "Get detailed information about Blue Bottle Coffee including hours, photos, and popular menu items" }], tools=[{"name": "yelp_business_details", "description": "Retrieve business details"}] ) ``` #### 3. Review Analysis ```python # Analyze customer reviews response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "Analyze recent reviews for this restaurant and summarize common themes and complaints" }], tools=[{"name": "yelp_reviews", "description": "Access and analyze reviews"}] ) ``` #### 4. Category Exploration ```python # Explore business categories response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "Find all dog-friendly restaurants with outdoor seating in Austin, Texas" }], tools=[{"name": "yelp_categories", "description": "Search by category and attributes"}] ) ``` ### Configuration ```json { "mcpServers": { "yelp": { "command": "npx", "args": ["-y", "@anthropic/mcp-yelp"], "env": { "YELP_API_KEY": "your-yelp-api-key" } } } } ``` ### Use Cases **Location-Based Apps**: Build applications that recommend restaurants, services, and venues based on user preferences and location. **Market Research**: Analyze competitive landscapes, consumer sentiment, and business density across geographic areas. **Travel Applications**: Create itinerary planners that incorporate local dining, entertainment, and service recommendations. **Business Intelligence**: Monitor review trends, rating changes, and consumer feedback for competitive analysis. The Yelp MCP Server transforms local business discovery into a programmable experience, bringing authentic consumer insights directly into your development workflow.
{
"mcpServers": {
"yelp": {
"mcpServers": {
"yelp": {
"env": {
"YELP_API_KEY": "your-api-key"
},
"args": [
"-y",
"yelp-mcp-server"
],
"command": "npx"
}
}
}
}
}