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"A guide to finding people on Yelp" matching MCP servers:

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    Enables conversational interactions with Yelp's business data through an MCP server, allowing natural language queries about local businesses, multi-turn conversations, and direct business inquiries powered by Yelp Fusion AI.
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    Apache 2.0
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    Minimal MCP server for the Yelp Fusion API v3, enabling business search, phone lookup, match, details, and reviews via FastMCP.
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    Provides Yelp Fusion API access through MCP tools and resources for searching businesses, getting reviews, and more.
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    Provides access to Yelp's business database for searching local businesses, retrieving detailed ratings and reviews, and performing market research through business counts. It enables users to look up businesses by location, category, or phone number using the Yelp Fusion API.
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    Enables AI agents to access and manage project guidelines, documentation, and context through a structured content system with template support and workflow management.
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    MIT
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    A beginner-friendly Model Context Protocol (MCP) server that helps users understand MCP concepts, provides interactive examples, and lists available MCP servers. This server is designed to be a helpful companion for developers working with MCP. Also comes with a huge list of servers you can install.
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    Apache 2.0
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    Improves AI agent task performance by providing task area segmentation, hierarchical RAG, and hybrid search capabilities.
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    Guides users to official WCAG and W3C resources for learning web accessibility, without providing its own explanations.
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    A Model Context Protocol server focused on China's A-share stock market that provides data on stocks, financials, market indices, and macroeconomic indicators.
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    649
    MIT
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    A humorous MCP server that always advises against shipping on Friday, returning a catastrophic risk level and a rotating reason.
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    MIT
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    Provides semantic search capabilities over the Plesk Extensions Guide documentation using Retrieval-Augmented Generation (RAG) and vector embeddings. It enables AI assistants to retrieve relevant technical information and answer natural language queries regarding Plesk extension development.
    Last updated