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

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.

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.

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.

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

Enables fetching weather forecasts for the USA via NWS API and for Israel via browser automation using Playwright.

Enables semantic code search over a local codebase using Qdrant vector embeddings and OpenAI embeddings, allowing natural language queries from MCP-compatible clients like Claude Desktop.

Provides a feed of x402/L402 services newly listed on 402index.io within a caller-specified recency window, with filtering by protocol, category, and payment network.

MCP server for querying the San Diego Municipal Code, bulletins, permits, parcels, and zoning data with citations and freshness guarantees.