"Finding a tool for weekly Gangnam restaurant recommendations and reservations via Catch Table" matching MCP servers:

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.

Enables restaurant discovery and reservations across multiple providers (Resy, Google Places, Yelp, Tock) with auditable and secure two-step booking.

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.

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.

Generates weekly review reports in Markdown format based on AI session data and optional user annotations.

An MCP server that monitors and provides analytics on weekly report submissions in a Google Sheet, allowing users to check missing submissions, view statistics, and track individual reporting status.

Weather forecast server which returns 7 days of detailed weather anywhere in the world, using the OpenWeatherMap One Call API 3.0.

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 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 a weekly review of Todoist tasks by listing overdue tasks with key signals (days overdue, priority, times postponed) and letting Claude propose fixes per task, which you approve or veto in chat before any changes are applied.

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

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

Enables interaction with table data in a Federated Wiki, supporting CSV, TSV, JSON, and markdown pipe tables, with CRUD operations via REST and MCP tools.

Enables agents to discover and invoke travel recommendations with partner-specific caps and exclusions via MCP JSON-RPC.

A tool discovery MCP server that integrates with Azure DevOps wikis and code-graph-rag to match natural language goals to tools, enabling tool composition and proxy testing.

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.