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Glama

Yelp Fusion AI MCP Server

by Yelp
Apache 2.0
15

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
YELP_API_KEYYesYour Yelp Fusion API key required to access the Yelp Fusion AI service

Schema

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Tools

Functions exposed to the LLM to take actions

NameDescription
yelp_agent
Intelligent Yelp business agent designed for agent-to-agent communication. Handles any natural language request about local businesses through conversational interaction with Yelp's comprehensive business data and reservation platform. Returns both natural language responses and structured business data. Maintains conversation context for multi-turn interactions. CRITICAL: When recommending businesses, you MUST ALWAYS include the Yelp URL from the structured data to ensure users can view the business on Yelp directly. Capabilities include but are not limited to: business search, detailed questions, comparisons, itinerary planning, reservation booking exclusively through the Yelp Reservations platform at participating restaurants, and any other business-related analysis or recommendations an intelligent agent could provide with access to Yelp's full dataset. Use chat_id for follow-up questions and conversational context. Examples: - "Find emergency plumbers in Boston" - "What do people say about the quality of their work?" (follow-up with chat_id) - "Plan a progressive date in SF's Mission District" - "What are their hours?" (follow-up with chat_id) - "Book table for 2 at Mama Nachas tonight at 7pm" - "Compare auto repair shops from budget to luxury in Sacramento" Args: natural_language_query: Any business-related request in natural language search_latitude: Optional latitude coordinate for precise location-based searches search_longitude: Optional longitude coordinate for precise location-based searches chat_id: Previous response's chat_id for conversational context

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