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

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    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.
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    MIT
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    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.
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    MIT
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    | 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 |
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    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.
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    MIT
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    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.
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    MCP server for querying the San Diego Municipal Code, bulletins, permits, parcels, and zoning data with citations and freshness guarantees.
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    MIT
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    Provides real-time stock market data and analysis from Chinese markets through 34 MCP tools, including K-line charts, technical indicators, fundamental analysis, financial metrics, and market insights without requiring authentication or API tokens.
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    MIT
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    Enables access to real-time news articles through search, topic headlines, full story coverage, and geo-based local news across multiple countries and languages using the Real Time News Data API.
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    MIT
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    Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.
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    MCP server that exposes GDB debugging as tools. An AI assistant can set breakpoints, run programs, step through code, inspect variables and memory, and examine registers — all via structured tool calls. Reverse debugging with rr is also supported.
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    Enables LLMs to read and write local user data, generate fake users via sampling, and interact with structured prompts and resources.
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