![\"Green](\"https:\/\/www.europesays.com\/ai\/wp-content\/uploads\/2026\/08\/green-street-Logo.jpg\"){kind=logo}
\n New MCP Server brings Green Street\u2019s proprietary research, data, and forecasts inside the AI tools organizations already use.<\/p>\n
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\n New MCP Server brings Green Street\u2019s proprietary research, data, and forecasts inside the AI tools organizations already use.<\/p>\n
Green Street<\/a>, the leading provider of Real Assets intelligence, data, news, and predictive analytics, announced the general availability of its MCP (Model Context Protocol) Server. This new capability connects Green Street\u2019s proprietary private and public market intelligence directly into the AI platforms real assets professionals already rely on, including corporate instances of Claude, ChatGPT, and Gemini, with support for additional platforms coming soon.<\/p>\n The MCP Server is the newest component of the\u00a0GreenStreetAI capability,\u00a0joining AI Summaries, which brings AI-generated executive summaries to every Green Street research report, and the forthcoming AI Assistant, a natural-language Q&A tool spanning more than 14,000 reports and decades of news archives. Together, the three capabilities mark Green Street\u2019s most significant investment yet in making its research and data accessible however and wherever clients work.<\/p>\n Also Read:\u00a0AiThority Interview with Gou Rao, co-founder and CEO at NeuBird AI<\/a><\/p>\n Grounded in decades of proprietary insights<\/p>\n Built on the Model Context Protocol (MCP), an open standard for connecting AI assistants to external data sources, the Green Street MCP Server gives users natural-language access to the same proprietary datasets that institutional CRE organizations have trusted for more than 40 years \u2014 without leaving the AI platform they are already working in, and without manual searching, exporting, or reconciling data across tools.<\/p>\n At launch, the MCP Server connects to Green Street\u2019s Research, Company Data, Company Sector Data, Market Data, Market Forecast, Sales Comps, and single-property Automated Valuation Model (AVM) tools, spanning the U.S., Canada, Europe, and selected Australia depending on the dataset. Green Street\u2019s pre-built prompts, including \u201cGet Research Summary\u201d and \u201cGet Market Overview\u201d, return ready-made research digests and market dashboards on demand, with a broader library of pre-packaged AI Skills being released frequently.<\/p>\n From insight to action, in seconds<\/p>\n Green Street designed the MCP Server to compress workflows that traditionally took days and weeks \u2013 underwriting a market, benchmarking a REIT, or building an investment case \u2013\u00a0 into a single natural-language conversation. Users can ask multi-dataset questions, such as comparing REIT valuations against transaction activity or ranking markets by risk-adjusted return, and receive answers grounded in Green Street\u2019s trusted data rather than generic web results.<\/p>\n \u201cThis is about meeting our clients inside the tools they already use every day,\u201d said Travis Valentine, Chief Technology Officer at Green Street. \u201cNo new platform, no new login, just Green Street\u2019s intelligence, available the moment a question comes up.\u201d<\/p>\n \u201cGreen Street has been the trusted source of unique insight across real assets industry for over 40 years. With the launch of MCP Server powered by GreenStreetAI, we are meeting the changing ways clients consume and use our content to make critical decisions. MCP Server creates a powerful ability for clients to combine AI capabilities with trusted Green Street intelligence like never before,\u201d\u00a0said Jeff Stuek, Chief Executive Officer of Green Street.<\/p>\n Also Read:\u00a0\u200b\u200b<\/a>AI and The Future of Work: Artificial Intelligence Is Expanding Organizational Intelligence Beyond Human Limits<\/a><\/p>\n