"A database for movies, TV shows, and related information" matching MCP servers:

A standalone MCP server for querying a PropertyRadar flip-tracking Supabase database. It offers read-only tools for searching properties, retrieving flip history, summarizing metrics, and running SQL queries.

MCP server for searching horse boarding facilities and trainers across the United States.

Four UK property finance calculators for AI assistants: bridging cost, development appraisal, BTL stress test, and UK stamp duty (SDLT, LBTT, LTT). Built by FD Commercial, a specialist UK property finance broker.

MCP server for AppFolio property management data, providing six catalog-backed tools to discover, describe, and run reports (Reporting API) and call endpoints (Database API) for reading and writing property management records.

An MCP server that shows every pricing decision for a short-term rental portfolio net of turnover costs, focusing on net per available night to protect profit margins.

Built an MCP server that connects Claude Desktop, Cursor, or any MCP client to Northeast Deal Intel's CRE database. 8 tools: • search_deals — filter 14K+ active listings by state, type, score, cap rate • search_comps — 100K+ closed transactions for comp benchmarking • score_deal — submit any property for AI scoring against real comp data • find_1031_candidates — exchange-ready deal filter (price

Enables AI assistants to provide information about Bequall's services for real estate, construction, and modular development, including company overview, use cases, and fit assessment.

Philippine real estate data for AI agents — search verified listings, calculate transfer costs, and get accurate legal information via lupaph.com.

Enables querying and searching for real estate listings, complexes, prices, and school information from Naver Land (Korean real estate platform) through a set of MCP tools. Supports region hierarchy navigation, coordinate-based search, and various trade types like sale, jeonse, and monthly rent.

An MCP server for accessing the Fotocasa1 API to search real estate listings and retrieve detailed property information in Spain. It supports location suggestions, property filtering by type and price, and fetching specific property details.

Enables Airbnb searches with location, date, guest, price, and property type filters, and retrieval of detailed listing information such as amenities, house rules, and direct booking links.

Enables access to Australian real estate data through the Realty In Au API, supporting property listings, agent/agency information, property details, school lookups, and property search with various filters.

Enables users to access the Realty In Ca1 API to search for residential and commercial property listings, view detailed property information, and retrieve neighborhood demographics or statistics. It supports filtering by geographic location, price range, building type, and other real estate characteristics.

Enables access to UK property listings, price estimates, agent information, and market data through the Zoopla API for searching properties for sale or rent with detailed filters and analytics.

Enables access to Zillow real estate data through the Zillow Working API, allowing users to query property information and listings.

MCP server for the Rentalot API. Manage rental properties, contacts, showings, conversations, and more from any AI assistant.

Provides read-only access to official Brazilian real estate registration data (ONR) via a single tool. Works with any MCP client over HTTP, with prepaid pay-per-use billing.

Enables an AI assistant to read your MagicDoor portfolio — properties, units, leases, tenants, owners, and lease renewals — using a revocable API key.

Enables AI assistants to analyze rental property deals using DoorVault IDEAL Scoring v2.0, including Section 8 FMR lookup, tax deduction checklists, and rental metrics calculations.

Queries Korean apartment sale transaction data (RTMS) by region code and contract date. Optimized for token efficiency with compressed JSON and Korean field names.