New MCP Server brings Green Street's proprietary research, data, and forecasts inside the AI tools organizations already use.
NEWPORT BEACH, Calif., Aug. 11, 2026 /PRNewswire/ -- Green Street, the leading provider of Real Assets intelligence, data, news, and predictive analytics, today announced the general availability of its MCP (Model Context Protocol) Server. This new capability connects Green Street's 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.
The MCP Server is the newest component of the GreenStreetAI capability, joining 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's most significant investment yet in making its research and data accessible however and wherever clients work.
Grounded in decades of proprietary insights
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 — without leaving the AI platform they are already working in, and without manual searching, exporting, or reconciling data across tools.
At launch, the MCP Server connects to Green Street's 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's pre-built prompts, including "Get Research Summary" and "Get Market Overview", return ready-made research digests and market dashboards on demand, with a broader library of pre-packaged AI Skills being released frequently.
From insight to action, in seconds
Green Street designed the MCP Server to compress workflows that traditionally took days and weeks - underwriting a market, benchmarking a REIT, or building an investment case - 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's trusted data rather than generic web results.
"This is about meeting our clients inside the tools they already use every day," said Travis Valentine, Chief Technology Officer at Green Street. "No new platform, no new login, just Green Street's intelligence, available the moment a question comes up."
"Green 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," said Jeff Stuek, Chief Executive Officer of Green Street.
Visit the Green Street website to book a demo and experience GreenStreetAI's MCP Server for yourself.
AI-generated outputs are for informational purposes only and do not constitute investment advice. AI tools do not act as fiduciaries.
About Green Street
Green Street is the leading provider of actionable Real Assets research, news, data, analytics, and advisory services in North America, Europe, Australia, and Asia. For more than 40 years, the world's largest institutional investors have relied on Green Street's independent, unbiased insight to make better-informed investment decisions. Headquartered in Newport Beach, California, Green Street combines thought-leading research, proprietary data, and advanced analytics delivered through a modern platform. Learn more at greenstreet.com.
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