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

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

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

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.

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.

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.

Turn real-estate listing photos into cinematic property videos from your AI assistant. reel-estate-mcp is a Model Context Protocol (MCP) server that connects Claude, Cursor, and other AI assistants to your Reel Estate account — so you can generate motion clips, AI-edit photos (virtual staging, twilight, seasonal), add voiceover, and render finished listing videos, all in plain language.

Enables processing, validation, optimization, and analysis of 3D models with glTF/GLB support, including format conversion, compression (Meshopt/Draco), texture optimization, and detailed model statistics.

Enables image processing tasks such as resizing, compressing, converting formats, cropping, and extracting metadata directly within IDEs like Cursor via the Model Context Protocol.

In-memory vector store with TF-IDF vectorization and cosine similarity search, paid per call via x402 micropayments.

Enables automated collection of apartment listing data from Naver Real Estate using Playwright browser automation with passive network response capture. Provides MCP tools to search complexes, resolve property identifiers, and extract normalized listing information including duplicate properties.

MCP server for OpenAI Vector Store API, managing vector stores, files, file batches, and semantic search.

Provides local vector-based semantic memory storage for AI assistants to persist context and decisions across sessions using local embeddings and LanceDB. It enables private semantic search and session handoff capabilities to maintain long-term project context.

Enables real-time web page fetching, web searches, RSS/Atom feed parsing, and competitor mention tracking to monitor market and competitor changes.

Enables AI agents to semantically search GitHub repository documentation by automatically fetching, vectorizing, and indexing content into an Upstash Vector database. It provides a standard MCP interface for agents to retrieve relevant documentation snippets through natural language queries.

Enables AI assistants to generate realistic, synthetic test data on demand, including valid PESELs, NIPs, addresses, and more across 27 EU countries, through two tools: list_generators and generate.

MCP server for Italian cadastral, geospatial and real estate data (catasto) for AI agents: geocoding on 18.7M+ addresses, 85M+ parcel profiles, risk, solar potential, valuations, administrative lists. Free Zornade API key.

MCP server for the Stream.estate French real estate API. Search properties, get market statistics, manage saved searches with webhook notifications.

Enables AI agents to control a hardened, human-like Chromium browser for automation and testing, with ad blocking, natural mouse movements, and Cloudflare Turnstile assistance.

A Model Context Protocol server that enables AI assistants to control a real web browser with stealth capabilities, avoiding bot detection while performing tasks like clicking, filling forms, taking screenshots, and extracting data.

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.