"Understanding local computer vision models like YOLO" matching MCP servers:

MCP server for searching and querying detailed housing listings in Taiwan, enabling AI to find properties with filters like city, district, room count, price, and age.

Provides deterministic fair-housing and advertising compliance checks for US real-estate listings, with rule explanations and rewrite suggestions, ensuring models cannot override the verdict.

Provides McKinsey-style strategy intelligence for real estate by enabling AI assistants to search podcast transcripts, access industry benchmarks, and apply consulting frameworks like 2×2 matrices and issue trees to analyze business situations.

Connects to Korea's MOLIT real estate API to provide 14+ tools for live transaction data and financial scenarios like buy now, buy later, or invest only based on income and savings.

Country-agnostic MCP-callable directory for AI agents to find local SMBs — realtors, insurance agents, medical practitioners — by category, location, or natural-language query. Returns business catalog data and UTM-tagged booking URLs (zero PII).

Enables AI assistants to research Zameen.com property listings with verified/titanium filtering, local watchlists, listing details, and agent-message drafting through structured tools.

Enables Polish-speaking users to connect EstiCRM with MCP clients like Codex, Claude Code, and Claude Desktop, providing read-only operations by default with optional write tools, data masking, argument validation, and safe request handling.

Connects MCP clients to an Ahreas (Superlógica) condominium-management ERP installation, exposing its SOAP web-service methods discovered live from the WSDL so users can list, search, and describe available operations and run read or write calls with the administrator's web-service key. Supports both a multiuser remote HTTP/OAuth mode with per-user Ahreas credentials and a single-user local stdio mode, with write operations disabled by default.

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 rental apartment aggregation, enabling geographic polygon search, semantic vector search, and LLM-powered analysis. Integrates with AI agents like Claude Desktop to manage apartment hunting workflows.

Enables AI assistants to work with the Follow Up Boss real estate CRM API through 130+ tools for operations like people, notes, deals, and smart lists, while keeping the user's API key local and delete operations opt-in.

Provides comprehensive real estate market intelligence, property valuation, and investment analysis for AI agents. Unifies data from multiple sources like Zillow, Redfin, and public records into a single MCP interface.

Fetches Korean and global financial data (indices, stocks, ETFs, exchange rates, crypto) via local MCP tools, bypassing web search limitations.

Enables to calculate property prices and check availability via BeTrusty API, supporting MCP-compatible clients like Claude Desktop and Cursor.

Connects AI agents to RealtyCalendar accounts, allowing users to query bookings, availability, and check-ins via natural language, with local-first privacy and read-only access.

Analyzes French real-estate market using open data sources like DVF transactions, DPE certificates, and risk data.

MCP server for analyzing building sustainability metrics via Excel, PDF, and frameworks like ESG, LEED, BREEAM, DGNB with IFC integration.

Enables AI agents to look up county assessor public records for properties, check MLS discrepancies against public data, and discover new county assessor sources, all via a local MCP server for real-estate appraisal workflows.

The RealVest MCP (Model Context Protocol) server enables AI assistants like Claude to use all 31 of our professional calculators and access our educational resources directly in your conversations. From basic affordability to advanced portfolio analysis, Monte Carlo simulations, and tax optimization

Enables AI assistants like IBM Bob to manage Maximo Real Estate & Facilities contracts through natural language, using 10 tools for querying, creating, importing, exporting, and reporting contract data via OSLC APIs.