"Extracting and Processing Real Estate Listings Using Vector Databases" matching MCP servers:

Enables pulling property listings, prices, and details from real-estate websites as structured JSON, with anti-bot handling and protected-page support.

Enables AI-powered real estate analysis with built-in EU AI Act compliance, providing a production-ready MCP server for property insights and governance.

Analyzes real estate locations using Kakao Local API, providing insights on education, transportation, convenience, nature, and future value.

Enables German real-estate appraisal calculations, including property depreciation and purchase-price allocation, through MCP tools backed by AfaMax APIs.

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.

Real Estate Listing - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables real estate property searches with location and criteria filtering, plus comprehensive mortgage calculations including monthly payments and affordability analysis. Currently uses mock data for property searches but provides full mortgage calculation functionality.

A comprehensive Model Context Protocol server for real estate data management that provides tools and resources for property listings, agent management, market analysis, client relationships, and area intelligence.

Enables querying Taiwan real-estate actual-price transaction data through MCP tools, including transaction search, market statistics, area listing, and data status, using a local SQLite database.

Japanese real-estate actual transaction prices and official land prices (official MLIT Reinfolib data): search by area, period, and property type, with published land-price reference points.

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.

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

Enables queries about US commercial and federal-programme real estate debt, loan maturities, subsidy expiries, and Massachusetts property parcel ownership, assessed values, and recorded sales through MCP tools, with eight free unauthenticated tools and one paid debt-maturity schedule tool.

Provides US real estate data including housing stats, demographics, nearby amenities, area comparisons, cost-of-living analysis, and neighborhood search via free public APIs without any API keys.

| 地価トレンド予測 | 新宿区の5年後地価をAI予測。CAGR・投資シグナル付き | | 企業立地需要分析 | 名古屋市中区のオフィス・工場需要スコアを算出 | | ファミリー向け適性評価 | 横浜市西区の教育・安全・医療スコアを総合評価 | | ポートフォリオ最適化 | 東京・大阪・埼玉の3エリアに投資配分を最適化 | | What-If シナリオ分析 | 大阪市中央区で新駅開設シナリオを試算 | | 店舗出店適地評価 | 福岡市博多区の人流・商業施設・交通データで出店適性を判定 |

Enables AI agents to find vetted, daily-scored US residential real-estate investment deals with pay-per-request via USDC on Base.

A Model Context Protocol server that provides access to property data, address verification, skip tracing, geocoding, and advanced property search capabilities through BatchData.io's APIs.

Enables LLMs and agents to interact with relational databases (SQL Server, MySQL, PostgreSQL) through MCP tools. Supports executing queries, inserting records, listing tables, and exposing database schemas with secure credential management.

A production-grade MCP server for integrating RAG into AI agents, supporting multiple vector databases with enterprise security and dynamic tool selection.

A shared, persistent MCP memory server for coding agents that enables storing and retrieving project decisions and context across different tools like Claude Code, Codex, and Cursor using semantic vector search.