"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.

Enables AI agents to get book recommendations by topic or mood, discover serendipitous blind-date picks from first sentences, and access free public-domain classics with read-now availability, all with no API keys required.

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.

Enables customers and AI agents to check restaurant table availability and create bookings, returning confirmations or nearby alternative times when a slot is full, with atomic capacity control and idempotent handling.

Provides hospitality intelligence tools for restaurant optimization, including menu profitability analysis, food cost calculation, reservation management, review sentiment analysis, and allergen checking.

Enables AI agents and clients to check table availability and book restaurant reservations for a given date, time, and party size, returning either a confirmed booking or the nearest alternative slots. It also supports idempotent retries so replayed requests return the original reservation rather than double-booking a table.

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

Enables AI agents to query a restaurant's governed knowledge documents, including menu, allergen info, reservation and refund policies, and hours, over MCP.

MCP server for agentic travel recommendations, exposing tools to retrieve member profiles and personalized travel recommendations with partner-specific rules and policies.

Enables reading Apple App Store customer reviews, publishing developer responses, and deleting them via the App Store Connect API with a narrow Customer Support role.

Enables reading and replying to Google Play Store reviews using the Android Publisher API, with no extra functionality to limit security risk.

Agent-native Amazon review intelligence — fetches verified reviews from 10 marketplaces via real Shulex OpenAPI (not scrapers) and produces copy-ready listing improvements grounded in actual customer language. Backed by a 2B-review historical dataset that Helium 10 / Jungle Scout can't replicate. Works in any MCP client (Claude Code, Claude Desktop, ChatGPT, Cursor, Windsurf, VS Code, Cline).

Enables AI agents to research Amazon reviews and voice-of-customer signals through read-only tools for paginated reviews, complaint evidence, rating summaries, media filtering, and side-by-side comparisons of two products.

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.

MCP server for curated food and dining feeds, providing tools to list, read, and fetch RSS/Atom feeds. Part of the Pipeworx gateway.

Enables checking food additive safety, nutrition profiles, pesticide residues, and ingredient lists with regulatory flags and dietary compatibility. All data is sourced from authoritative bodies like JECFA, EFSA, and FDA.

Provides access to Hong Kong food data, including wholesale food prices, through a FastMCP interface.

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