@striderlabs/mcp-yelp
# @striderlabs/mcp-yelp
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.
## Installation
```bash
npm install @striderlabs/mcp-yelp
```
## Configuration
Add to your MCP client configuration:
```json
{
"mcpServers": {
"yelp": {
"command": "npx",
"args": ["@striderlabs/mcp-yelp"]
}
}
}
```
## Available Tools
| 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 |
## Example Usage
```typescript
// 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"
});
```
## Features
- **Restaurant Search**: Filter by cuisine, price, distance, ratings
- **Business Discovery**: Search for any type of local business
- **Reviews**: Access user reviews with ratings and photos
- **Photos**: Browse food, interior, and exterior photos
- **Menus**: View menu items with prices
- **Hours**: Get operating hours including special hours
- **Trending**: Discover hot new spots
- **Collections**: Access curated "best of" lists
- **Deals**: Find current promotions and offers
## Requirements
- Node.js 18+
## License
MIT
## Links
- [Strider Labs](https://striderlabs.ai)
- [GitHub Repository](https://github.com/markswendsen-code/mcp-yelp)
TDQS
Scored across 6 tools
Each tool targets a distinct aspect of Yelp data: deals, hours, menu, reviews, trending, and general search. There is no overlap in purpose, so an agent can clearly distinguish them.
All tools start with 'yelp_' and use a verb_noun pattern, but 'search_businesses' uses 'search' instead of 'get', which is a minor deviation. Overall, the naming is predictable and readable.
With 6 tools, the set is well-scoped for a Yelp MCP server. It covers core read operations without unnecessary bloat, fitting the typical use cases for a Yelp integration.
The tools cover search, reviews, hours, menu, deals, and trending, which are key read operations. A minor gap is the lack of a dedicated business detail tool, but search likely covers basic info. Write operations are not expected.