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@striderlabs/mcp-yelp
Advanced tools
MCP server for Yelp - let AI agents search restaurants, read reviews, view photos, and find businesses
MCP server connector for Yelp - the leading platform for local business discovery. Enables AI agents to search restaurants, read reviews, view photos, check hours, find deals, and discover trending spots.
npm install @striderlabs/mcp-yelp
Add to your MCP client configuration:
{
"mcpServers": {
"yelp": {
"command": "npx",
"args": ["@striderlabs/mcp-yelp"]
}
}
}
| Tool | Description |
|---|---|
yelp_search_restaurants | Search restaurants by location, cuisine, price |
yelp_search_businesses | Search any type of business |
yelp_get_business_details | Get detailed business information |
yelp_get_reviews | Get reviews with ratings and text |
yelp_get_photos | Get business photos by category |
yelp_get_menu | Get restaurant menu items and prices |
yelp_get_hours | Get business hours |
yelp_find_similar | Find similar businesses |
yelp_get_trending | Get trending/new spots in a location |
yelp_get_collections | Get curated Yelp collections |
yelp_check_wait_time | Check estimated wait time |
yelp_get_deals | Get current deals and offers |
// Search for sushi restaurants
const results = await client.call("yelp_search_restaurants", {
query: "sushi",
location: "San Francisco, CA",
priceRange: "$$",
sortBy: "rating"
});
// Get business details
const details = await client.call("yelp_get_business_details", {
businessId: "nobu-san-francisco"
});
// Read reviews
const reviews = await client.call("yelp_get_reviews", {
businessId: "nobu-san-francisco",
sortBy: "newest",
limit: 20
});
// Get restaurant photos
const photos = await client.call("yelp_get_photos", {
businessId: "nobu-san-francisco",
category: "food"
});
// Find trending restaurants
const trending = await client.call("yelp_get_trending", {
location: "San Francisco, CA",
category: "restaurants"
});
MIT
FAQs
MCP server for Yelp - let AI agents search restaurants, read reviews, view photos, and find businesses
We found that @striderlabs/mcp-yelp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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