"Planning a Trip and Booking a Hotel" matching MCP servers:

This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.

Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.

MCP server exposing a PostgreSQL booking datastore to MCP clients, enabling read/write operations on staff, schedules, clients, and bookings with optional human-approval workflow integration.

A Model Context Protocol (MCP) server that provides access to a trip tracking SQLite database. This server enables AI assistants to query and manage flight trip information including users, airports, and flight details.

An MCP server that connects AI assistants like Claude to a Microsoft SQL Server hotel booking database, exposing tools to query customers, rooms, and bookings.

A FastMCP server that provides tools for querying and filtering people data from Planning Center People API, enabling access to member information, background checks, roles, and other demographic data.

MCP server for creating day-by-day trip itineraries in SQLite, with a planner agent that uses a Tavily search scout via tool boundaries. Enforces guard rails like rejecting activities on out-of-range days.

Gives Claude full read/write access to the Indexed FP&A portal's data, enabling everything a person can do manually on the portal through conversation.

A MongoDB MCP Server that allows AI agents and MCP clients to interact with MongoDB databases through standardized tools for CRUD operations, schema discovery, and collection management.

Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.

Enables AI-driven hotel booking operations with 30+ MCP tools, hybrid database architecture (PostgreSQL, MongoDB, Redis), and live benchmarking to demonstrate performance improvements.

Enables multi-agent trip planning with coordinated specialized agents for team management, food preferences, and travel recommendations. Integrates Neo4j employee graphs, Postgres data, real-time weather APIs, and country information for comprehensive travel planning.

An HTTP MCP server for exploring CSV files that masks PII before any code execution, enabling safe data analysis with local or cloud LLMs.

An MCP server that gives LLM clients access to a SQL Server database and the local filesystem, including file operations and image handling.

A FastMCP-based server designed for the banking and fintech domains, providing tools for database queries, Git operations, and deployment management. It features a modular architecture with reusable prompt templates and integrated security practices for sensitive data handling.

MCP server demonstrating elicitation for booking appointments and an interactive MCP App for viewing appointments with SQLite persistence.

A Model Context Protocol server that exposes Firebase Firestore and Authentication to AI agents, supporting multi-project configurations and read operations.

Exposes local DuckDB pizza sales data as MCP tools for querying store-level and total sales metrics via natural language, enabling local LLMs to perform real-time analytical queries.

Enables AI to interact with Microsoft Access (.mdb, .accdb) and SQLite 3 databases, including read-only support for Access 97 databases. Supports executing SQL queries, importing/export data from CSV and Excel files, and storing notes about database files.

Enables AI interaction with Microsoft Access and SQLite databases to perform SQL queries, updates, and data management. It supports importing and exporting data via CSV and Excel files and includes tools for managing human-readable notes about database files.