US: Short-term rental data company AirDNA has launched Adapt MCP, enabling property managers to analyse portfolio performance and manage pricing through AI assistants including Claude and ChatGPT.
The new integration connects live portfolio information and AirDNA’s pricing tools with AI assistants through Model Context Protocol [MCP], a standard that allows AI systems to interact with external software.
Operators can use natural-language instructions to create daily revenue reports, identify properties pacing behind previous years and compare rates with competing listings.
Adapt MCP can also identify booking gaps caused by minimum-stay restrictions and implement approved changes to pricing rules, strategies and seasons. Managers can save recurring checks as automated routines and apply instructions across individual properties, selected markets or entire portfolios.
AirDNA said pricing changes are subject to existing floors and ceilings. Changes pushed to booking channels must also be previewed and explicitly approved by the user.
According to the company, only 36 per cent of US hosts managing at least 21 listings currently use fully automated pricing.
The MCP server has approximately 30 tools and can access calendars, reservations, pricing rules, comparable properties and booking pace. It does not provide AI assistants with guest names, contact details or property addresses.
Highlights:
- AirDNA Adapt now connects with Claude and ChatGPT through MCP.
- Property managers can build AI-powered revenue reports using live portfolio data.
- Operators can identify booking gaps and approve pricing or minimum-stay changes.
- Existing price limits remain in place and channel updates require user approval.
- Adapt MCP is included for customers with connected listings.