Revolution RE · MCP beta

Talk to your portfolio.
From the AI tools you already use.

The Revolution RE connector brings your live portfolio data into ChatGPT, Claude, Gemini, and Copilot over the Model Context Protocol. Ask in plain language — get answers grounded in your data.

Works with
ChatGPT Claude Gemini Copilot
AI assistant
Revolution RE connected
Which properties are below 92% occupancy this month?
2 of your 14 properties are below 92% occupancy this month.
Bishop Yards89.4%
Lowry Park91.1%
Portfolio avg.94.6%
What is MCP

An open standard that connects AI assistants to your data — securely.

The Model Context Protocol (MCP) is an open standard for connecting AI assistants to external systems. With the Revolution RE connector, your AI tool reads your live portfolio through a permissioned, auditable link — no exports, no copy-paste, no new dashboard to learn.

Revolution RE platform
Portfolio & properties
Reports & metrics
Live operating data
Your AI client
ChatGPT Claude Gemini Copilot
Ask in plain language
No SQL, no report builder. Ask the way you'd ask an analyst.
Always live
Answers reflect your current portfolio data — never a stale export.
Stay in your workflow
Query from the assistant your team already uses every day.
How it works

From access to answers in four steps.

1
Schedule a call
We review which data the platform connects to and confirm the right scope for your team.
2
Connect your client
Add the Revolution RE connector to ChatGPT, Claude, Gemini, or Copilot with guided setup.
3
Ask anything
Query NOI, occupancy, rent roll, and variances in plain language — grounded in live data.
4
Shape the beta
You're an early user — tell us what works, what's missing, and what to build next.
Frequently asked questions

Everything about the Revolution RE MCP

What it is, which AI platforms it works with, how your data stays protected, and how your team gets access.

Model Context Protocol

A Model Context Protocol, or MCP, is a secure way for an AI platform to connect to approved business systems and data sources.

Instead of copying files, exporting spreadsheets, or manually feeding information into an AI platform, an MCP gives the AI platform permissioned access to the data and tools needed to answer questions, compare information, and support analysis.

The Revolution RE MCP gives approved users access to the data within their organization's Revolution RE account through the AI platform of their choice, including ChatGPT, Claude, Copilot, and Gemini.

The data is not Revolution RE's data. It is the client's operational and financial data, extracted from one or more management companies or property management systems, standardized through Revolution RE's multifamily data model, and made available through an MCP provided by Revolution RE.

You can use the Revolution RE MCP with the AI platforms your team already works in: Claude, ChatGPT, Copilot, and Gemini.

You pick the platform. Your standardized Revolution RE data comes with you.

Multifamily data is often fragmented across management companies, property management systems, reports, spreadsheets, and market data sources. That fragmentation makes it difficult to compare properties, operators, budgets, and performance on an apples-to-apples basis.

The Revolution RE MCP brings standardized property and portfolio data into the AI platform where teams already work. From there, users can ask questions, run analysis, compare performance, prepare summaries, identify anomalies, draft reports, and combine internal data with other approved data sources.

Yes. Revolution RE is introducing an MCP built specifically for multifamily operational and financial data.

Property management systems - such as Yardi, Entrata, and RealPage - can only provide access to the data inside that specific platform, and many offer AI functionality through tools embedded inside the vendor's own application. This does not all users to choose their AI platform, and many companies don't have access to these systems, or have property data on multiple systems. There are multifamily market data providers who offer users access to licensed data in AI applications, but that data is typically public, market data. And while market data provides valuable comparative contextual data, it is only a complement to an operator's own property data, not a substitute for it.

Revolution RE provides a full picture for operators. Standardized data from a client's own property data across management companies and property management systems, layered in market benchmarking and local comps, all standardized and made available to clients through their preferred AI platform.

Why it matters

First, the client's own property and portfolio data becomes available in the AI platform their organization chooses to use.

Second, Revolution RE's standardization layer allows data from different management companies and property management systems to be compared consistently. Automating the aggregation of standardized data is what makes true apples-to-apples analysis possible across properties, operators, markets, and time periods.

Third, once standardized internal data is available inside an AI platform, teams can combine it with other approved sources such as market benchmarks, comparable property data, public data, marketing data, investment assumptions, or CRE-specific AI skills.

Chat is only the entry point. Connected to your standardized data, an AI platform can summarize performance, investigate variances, compare operators, prepare owner updates, flag expense anomalies, evaluate budget gaps, and draft reporting narratives.

The bigger unlock is running task-specific AI skills and agents on top of your data — for asset management, leasing, accounting, investor reporting, underwriting, and variance analysis. The work gets done, not just answered.

Users can ask questions such as: Which properties are missing budget on NOI? Where are expenses above market benchmarks? Which unit types have the highest vacancy? How are concessions affecting trade-out? Which operators are outperforming comps?

Users can also compare actuals to budget, pro forma, comps, and market expense benchmarks in one workflow. Because the underlying data has been standardized, the AI platform can work from consistent definitions instead of disconnected reports.

The Revolution RE MCP is built for multifamily owners, operators, asset managers, investment teams, and anyone who needs consistent access to property, portfolio, and market performance data.

It is especially valuable for groups working across multiple management companies, mixed property management systems, or portfolios where performance needs to be compared across assets, operators, markets, and benchmarks.

Data & sources

The Revolution RE MCP makes approved data from the client's Revolution RE account available inside the AI platform selected by the client.

Revolution RE's MCP access is available to Revolution RE's BI and Standardization subscriptions, as well as market composite expense benchmarking from Market Data for Multifamily.

Yes. That is one of the core advantages.

Revolution RE standardizes client data across multiple management companies and property management systems so users can analyze the portfolio through consistent categories, metrics, and definitions.

That standardization is what allows a portfolio with different operators or source systems to be analyzed as one portfolio rather than as disconnected exports.

Yes. The MCP makes the client's approved Revolution RE data available to the selected AI platform. The AI platform can then use that data alongside other data sources the user has permission to access.

For example, users may combine standardized internal property data with market expense benchmarks, comparable property information, census data, marketing data, investment assumptions, or other approved sources available in the same AI workflow.

Teams can analyze portfolio performance against budgets, pro formas, market comps, and market expense benchmarks in a single workflow.

Examples include comparing one operator to another, evaluating property performance relative to submarket conditions, identifying expense categories that are out of line with the market, or spotting where occupancy, rent growth, concessions, and NOI are diverging from plan.

Security & privacy

Yes. The MCP operates within Revolution RE's existing security model. Revolution RE is SOC 2 audited, and data is encrypted in transit and at rest.

The MCP does not create a new copy of your data or a separate access path. It exposes approved data from your Revolution RE account through the same permission boundaries your team already uses.

Users can access the data within their organization's Revolution RE account with the same property access permissions.

The MCP follows the access boundaries already established in Revolution RE, including organization-level and property-level permissions.

Permissions follow the same access boundaries users already have in Revolution RE, including organization and property limitations.

Revolution RE controls what approved data is made available through the MCP. Users access that data through the AI platform where their organization has enabled the connection.

Use cases
More than chat
AI isn't just a chatbot — it's skills and agents.

Install task-specific CRE skills — underwriting, asset management, variance analysis, LP reporting, lease abstraction — and run them on your standardized Revolution RE data. MetaProp Labs' skills library is a great example: 100+ free, audited CRE skills that work with Claude, ChatGPT, Copilot, and Gemini.

Explore the MetaProp Labs skills library →

Owners can identify which properties are behind budget, where NOI is under pressure, how one operator compares to another, and which assets are underperforming against market comps.

Asset managers can compare actuals to budget and pro forma, evaluate rent growth versus market, benchmark expense performance, and prepare clearer reporting narratives across properties, operators, and submarkets.

Operators can investigate where vacancy is rising, which properties are using more concessions, where expenses are outpacing benchmarks, and which assets need closer review.

Users can blend internal performance data with external market data for a more holistic view of performance. With context, operators get a better understanding of whether issues and opportunities are property-specific, market-wide, or both.

Without standardized data, AI answers break down quickly because each management company or property management system may define the same metric differently.

Revolution RE standardizes data through a multifamily data model built for operational and financial analysis. That standardization allows the AI platform to compare performance across properties, operators, markets, and benchmarks using consistent definitions.

Getting started

Setup is simple. Add the Revolution RE MCP to your AI platform, and the platform walks you through the rest:

  1. Add the Revolution RE MCP URL to your AI platform — Claude, ChatGPT, Copilot, or Gemini.
  2. Log in to your Revolution RE account when prompted.
  3. Grant permission to the datasets in your account that are currently available.

From there, you can start asking questions and running analysis on your approved data.

Access is rolling out now, and demand is high. Current Revolution RE clients can schedule a call to get set up right away — we'll confirm your data, permissions, and preferred AI platform, then turn it on.

Not a client yet? Schedule a call to claim your spot on the waitlist. Owners, operators, investors, and proptech teams are already lining up to put standardized multifamily data to work in AI. Get in early.

Have questions about MCP access?
Book a 20-minute demo. We'll walk through how the MCP connects, what your team can ask, and how access works for your portfolio.