"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 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.

Enables routing context and execution across AI tools like Claude, Cursor, Windsurf, and ChatGPT with a shared memory, task board, and context bus, plus local file conversion.

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.

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

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.

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.

Compares weekly work reports against original data to identify incorrect values, missing items, and narrative inconsistencies, providing verification results to users.

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.

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.

Enables users to search, check availability, and book restaurant reservations across Resy and OpenTable platforms. It supports direct booking for Resy and includes an automated reservation 'sniper' for securing high-demand slots the moment they become available.

An MCP server that generates security weekly reports and manages a terminology glossary for the Taiwanese cybersecurity community.

Provides deterministic decision and constraint evaluation for AI agents. Supports ruleset validation, fact evaluation, and constraint checking via MCP tools.

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.

Enables searching ruanyifeng's weekly GitHub issues and returning a Markdown list with summaries.

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

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.

Provides intelligent weekly schedule analysis from Google Calendar, including day-by-day breakdowns, workout suggestions, office day detection, and scheduling problem identification through natural language queries.