Campertunity MCP Server

Campertunity’s MCP server transforms the way AI assistants interact with outdoor recreation data by exposing a rich set of camping‑focused tools over the Model Context Protocol. Instead of hard‑coding location logic or maintaining local databases, developers can now let Claude or other AI models query up‑to‑date campsite information in real time, ensuring recommendations are accurate and relevant. This eliminates the need for manual data wrangling and keeps applications in sync with the latest availability, pricing, and amenities.

At its core, the server offers four primary tool families: place-search, place-details, place-availability, and place-book. A user can request a list of campsites near a specified latitude/longitude, filter by activity tags such as hiking or glamping, and even describe desired features in natural language. Once a site is identified, the AI can retrieve full details—including descriptions, photos, and contact info—before checking slot availability for a requested date range. Finally, the booking tool enables end‑to‑end reservations directly from the conversational flow, streamlining the user experience without redirecting to external sites.

Key capabilities are built around a flexible filtering system. The server exposes a comprehensive tag taxonomy covering site types (tent, RV, cabin), access modes (drive‑in, walk‑in, equestrian), activities, amenities, and terrain. This granularity allows developers to craft highly personalized queries—for example, finding a pet‑friendly beach cabin with Wi‑Fi and a nearby fishing spot—so that the AI can surface exactly what the user wants. The search tool’s parameters also support pagination, date ranges, and party size, giving fine control over the returned dataset.

Real‑world use cases abound. A travel chatbot can recommend weekend getaways tailored to a family’s interests, automatically checking availability before suggesting dates. A travel‑planning app can embed the booking tool to let users reserve sites while chatting, eliminating friction. Outdoor event planners might use the server to identify venues that support specific activities or accommodate large groups, all powered by an AI assistant. Because the data is refreshed on every request, these applications remain accurate even as campsites open or close.

Integration into existing AI workflows is straightforward. The MCP server can be registered in a client configuration, and the tools become callable actions within Claude’s prompt language. Developers can chain calls—search → details → availability → book—to build complex, stateful interactions. The server’s strict no‑caching policy ensures that every request hits the live data source, safeguarding users from stale information. With its focused domain knowledge and real‑time access, Campertunity’s MCP server gives AI assistants a powerful, trustworthy bridge to the outdoors.