Homesage.ai launches Real Estate MCP for Claude, ChatGPT and Gemini

Homesage.ai said Tuesday it has launched a Real Estate MCP server that lets users query 155 million-plus U.S. property records inside Claude, ChatGPT and Gemini. The move brings investor-style property analysis, from valuations to flip modeling, into mainstream AI assistants without separate dashboards or API setup.

Why it matters: - Real estate investors, agents and developers can now run property analysis inside the AI assistants they already use. - The launch aims to reduce the time and friction involved in accessing institutional-quality housing data. - Homesage.ai is positioning its property intelligence as a native layer inside major AI platforms, not a separate workflow.

What happened: - Homesage.ai announced the launch of its Real Estate MCP, or Model Context Protocol, server. - The server makes investor-grade property intelligence available inside Claude, ChatGPT and Gemini. - Users can query Homesage.ai’s database of more than 155 million U.S. properties through natural-language prompts. - The company said the system requires no additional software, dashboards or API credentials.

The details: - The MCP connects AI assistants to 33 specialized investor tools across the property analysis workflow. - Users can request instant home valuations, comparable sales, fix-and-flip return models, rental income projections, renovation budgets and property condition red flags. - The server returns structured, investment-ready data in seconds. - The tool set covers six capability areas: valuations and AVM, comparable sales, fix-and-flip return modeling, long-term and short-term rental projections, renovation cost estimates, and property condition and location risk flags. - Valuation tools provide automated values with confidence ranges for U.S. residential addresses. - Comps are filtered by proximity, size and condition using recent closed transactions. - Flip modeling estimates purchase cost, renovation budget, after-repair value and projected profit margin. - Rental projections include monthly cash flow, cap rate and Airbnb revenue estimates. - Renovation estimates include line-item breakdowns for major systems, cosmetic upgrades and structural repairs. - Property condition tools assess deferred maintenance indicators and location risk factors. - The MCP is compatible with any AI platform that supports the Model Context Protocol, including Anthropic’s Claude, OpenAI’s ChatGPT and Google’s Gemini. - Setup requires one authentication step, after which the tools become available in the assistant interface. - The Real Estate MCP also complements Homesage.ai’s web investment platform, DealFinder mobile app and property data APIs. - Homesage.ai said data is synchronized across those access points. - More information is available at the product page and Homesage.ai.

Between the lines: - The launch reflects a broader push to move specialized data workflows into general-purpose AI chat interfaces. - Homesage.ai is betting that speed and convenience will matter as much as raw data depth for real estate professionals. - Blaze Dimov, Homesage.ai’s CEO and founder, said the MCP is meant to close the gap between AI assistants and real estate intelligence. - Dimov said an investor can ask Claude to analyze a property, compare it with recent comps and model a flip return in one conversation.

What's next: - Homesage.ai is likely to use the MCP to drive adoption across its broader product ecosystem. - Investors can move between conversational analysis and deeper dashboard workflows as needed. - The company is also continuing to market its property reports, APIs and AI-powered investment tools to professionals across the real estate stack.

The bottom line: - Homesage.ai is trying to make property analysis feel as simple as asking a chatbot a question, while keeping institutional-grade data under the hood.