"Travel" matching MCP servers:

Enables Claude to access and manage a travel company's customer data, trip history, and information requests. Supports searching customers, querying trips by destination or date, and tracking customer inquiries through natural language.

Enables AI agents to query and act on SAP CAP travel domain data (travels, bookings, customers, agencies) via MCP tools, including unbound actions and security-aware access.

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.

A private location archive with an MCP server, letting an agent answer questions about your past stays, trips, cities, and travel stats from data in your own Postgres.

Enables natural-language AI agents to query and manage Couchbase databases via the Model Context Protocol, allowing users to ask plain-English questions about travel data and get SQL++-backed answers.

Model Context Protocol server for read-only access to Iceberg tables through Cloudera Trino: schema discovery, SQL queries, metadata-based health checks, time travel, and performance analysis.

An embedded knowledge graph in one SQLite file, exposing a MCP server for agents to read and write entities and relationships with full audit trail and time travel.

Enables MCP clients to search encrypted, self-hosted archives and retrieve bounded records from Apple, Canvas, Health, travel, and Obsidian sources while checking sync freshness.

Enables Claude to list Iceberg tables and run read-only DuckDB SQL queries, including time travel by snapshot, with per-caller token authentication and audit logging.

Enables natural language querying of Apache Iceberg lakehouse by exposing typed tools for namespace discovery, table metadata inspection, snapshot history, time travel SQL generation, and partition pruning explanation.

Enables LLM agents to query a bi-temporal property graph using verified temporal operators via MCP, with auditable claims and correction-aware time travel.

A FastMCP-powered server for accessing curated travel spot data from a PostgreSQL database. It provides tools to retrieve major attractions, supporting sites, and the top ten most popular destinations.

Exposes twelve annotated tools over stdio JSON-RPC that let an MCP client search an HR policy corpus and query mock employee records, PTO, benefits, travel history, and ticketing data. This enables grounded, citation-backed answers to HR policy and operations questions that require combining written rules with a specific employee's data.

Enables natural language querying and management of local Apache Iceberg tables with full CRUD, time travel, schema evolution, and Vortex format support via MCP.

Gives AI agents persistent memory with bi-temporal tracking, automatically extracting entities from natural language and enabling time-travel queries to understand facts as they existed at any point in history.