"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.

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

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.

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 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.

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.

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.

Integrates RAG into AI agents via MCP Server, supporting multiple vector database technologies for collection management and search operations.

Enables integrating RAG into AI agents via MCP server, supporting multiple vector database technologies.

An MCP server that enables AI assistants to create and run Processing sketches directly through natural language commands.

MCP server for querying Israeli government real estate data, enabling property deal searches, market trend analysis, and address retrieval.

A secure vector-based memory server that provides persistent semantic memory for AI assistants using sqlite-vec and sentence-transformers. It enables semantic search and organization of coding experiences, solutions, and knowledge with features like auto-cleanup and deduplication.

Enables structured real estate workflows including property search, agent/client management, market intelligence, mortgage calculations, valuation, investment analysis, and document ingestion, with offline-first capabilities and optional live data integrations.

Enables semantic and full-text search over markdown notes, with tools to create, edit, move, and delete notes, all through MCP. Runs entirely locally using Ollama for embeddings and SQLite for storage, working with Obsidian or standalone.

Enables agents to turn documents into vectors, perform approximate nearest neighbor search with HNSW, and filter by metadata via MCP tools for RAG workflows.