"A server for finding food reviews and restaurant recommendations on Dianping" matching MCP servers:

Enables AI agents to discover long-tail podcasts through randomized probe queries, trend lookups, and RSS feed peeks, providing cadence, episode length, and feed details without requiring API keys.

A permission-aware MCP server for restaurant backend operations, enabling role-based access to menus, orders, sales, and drafting specials with a human approval workflow.

MCP server exposing restaurant tools including search by cuisine, price, rating, and open status, restaurant details, user preferences stored in Neon Postgres, and RAG knowledge search covering 50 mock restaurants across Scottsdale and Phoenix.

MCP server for Spice Garden demo restaurant that enables querying orders, inventory, tables, and sales data from a SQLite database, with an optional OpenRouter-powered chat assistant.

An MCP server for food-related queries powered by MiniMax AI, enabling natural language interaction via a chat API.

MCP server for NYC Restaurant Week, enabling search and lookup of participating restaurants, date checks, and filter options.

About Search Steam games, fetch user reviews, and analyze sentiment with topic drill-down to make informed purchasing decisions.

A production-grade semantic search server for food recipes — built for AI agents using the Model Context Protocol (MCP). Search across 50,000+ recipes with hybrid dense + sparse retrieval and cross-encoder reranking.

Enables AI assistants to access the Open Food Facts database to query detailed food product information, nutritional data, and environmental scores. Supports product lookup by barcode, smart search with filtering, nutritional analysis, product comparison, and dietary recommendations to help users make informed food choices.

MCP server for Expedia travel recommendations. Enables LLMs to search hotels, flights, activities, and car rentals using natural language.

Query UK food hygiene ratings via MCP. Enables searching establishments by name, location, or rating.

Enables tracking food intake and nutrition using the USDA FoodData Central database. Supports logging meals, setting daily nutrition goals, viewing food diaries, and analyzing nutrition trends over time with local SQLite storage.

Query food inspection grades and violations for Charlotte/Mecklenburg County, NC, with tools for searching establishments, getting details, finding nearby, and score distributions.

Enables AI agents to search the USDA's FoodData Central database and retrieve detailed nutritional information and ingredient lists. It supports comprehensive food data access through keyword searches and structured queries for specific food items.

Provides comprehensive A-share (Chinese stock market) data including stock information, historical prices, financial reports, macroeconomic indicators, technical analysis, and valuation metrics through the free Baostock data source.

An MCP server that lets you log meals through Claude (and soon ChatGPT) in plain language, using India's official food composition data (IFCT 2017) plus USDA, enabling accurate calorie and macro tracking for Indian dishes with household units and photo logging.

Connects AI agents to UK Food Standards Agency food hygiene ratings (FHRS). Enables querying food hygiene data via natural language through the Pipeworx gateway.

Find discounted food waste from Danish supermarkets (Salling Group) via the Model Context Protocol. Provides tools to search nearby stores or get products by store ID.

A Model Context Protocol server that enables Claude to search and access detailed nutritional information from the USDA's FoodData Central database.

Provides AI assistants with real-time access to nutrition data from USDA FoodData Central and FatSecret, enabling accurate answers with citations for nutrition queries.