# Green Street MCP

> Green Street connects your agent to deep commercial real estate (CRE) data. Use this MCP to track REIT performance, pull live market metrics like Net Asset Values (NAV), and analyze sector grades across major property types. It lets you turn natural conversation into actionable financial intelligence for underwriting and portfolio strategy.

## Overview
- **Category:** real-estate
- **Price:** Free
- **Tags:** market-intelligence, reit-data, financial-analysis, commercial-real-estate, asset-valuation, investment-research

## Description

Stop toggling between five different vendor dashboards just to get a full picture of a market. This MCP connects your AI agent directly to Green Street's vast library of CRE data, putting institutional-grade research right in your chat window. You can ask specific questions—like what the current Net Asset Value is for a given company or how that company's portfolio breaks down geographically. It handles complex requests naturally, from pulling historical transaction summaries to generating forward-looking NOI projections based on advisory models. Because it integrates with Vinkius, you get full access to this specialized data alongside hundreds of other industry tools, making Green Street your single source for real estate intelligence.

## Tools

### get_company_summary
Provides a high-level financial summary for any company using its stock symbol.

### get_earnings_metrics
Retrieves specific earnings data, including FFO and FAD metrics, for corporate analysis.

### get_forecast_scenarios
Fetches forward-looking projections regarding market conditions and sector performance.

### get_historical_transactions
Retrieves records of past real estate transactions for benchmarking and analysis.

### get_market_grades
Determines the current market grade or ranking for a specific geographic area.

### get_market_projections
Generates forward-looking Net Operating Income (NOI) projections for entire markets.

### get_market_sector_summary
Gathers detailed analytics and grades specific to a given real estate sector, like industrial or retail.

### get_nav_estimates
Calculates the estimated Net Asset Value (NAV) for companies based on their portfolio holdings.

### get_news_articles
Searches and gathers recent commercial real estate news articles and market updates.

### get_portfolio_breakout
Analyzes a company's holdings to show how its assets are distributed by region or property type.

### list_companies
Lists all REIT and real estate companies covered in the Green Street database.

### list_sectors
Provides a list of available real estate sectors for filtering data.

## Prompt Examples

**Prompt:** 
```
List all listed REITs in the Industrial sector
```

**Response:** 
```
Retrieving industrial REITs... I found 12 companies in the Industrial sector, including Prologis (PLD), Terreno Realty (TRNO), and EastGroup Properties (EGP). Would you like the NAV estimates for any of these?
```

**Prompt:** 
```
What is the market grade for the New York Office market?
```

**Response:** 
```
Fetching market analytics... The New York Office market currently has a Green Street Grade of 'B+'. This reflects strong underlying demographics but ongoing headwinds in the office sector. Would you like to see the supply/demand projections for this market?
```

**Prompt:** 
```
Show me the portfolio breakout for Prologis (PLD)
```

**Response:** 
```
Retrieving portfolio details... Prologis's portfolio is approximately 95% Industrial. Geographically, it is diversified across the US (70%), Europe (15%), and Asia (10%). The top market exposure is in Southern California.
```

## Capabilities

### Assess company financial health
Get immediate financial summaries and calculate key earnings metrics like FFO/FAD for specific companies.

### Determine market positioning
Retrieve competitive grades, rankings, and sector-specific analytics for any given property market.

### Model future financial performance
Access projections for NOI and forward-looking market scenarios based on Green Street's proprietary advisory data.

### Audit asset ownership exposure
Get detailed breakdowns of a portfolio, showing geographic and property type concentrations.

### Track historical investment activity
Pull records detailing previous real estate transactions to analyze market movement over time.

## Use Cases

### Assessing a potential investment opportunity
An analyst needs to know if Company X is sound. Instead of checking three different websites, they ask the agent for `get_company_summary` and then follow up with `get_nav_estimates`. The agent instantly synthesizes both pieces of data to provide an initial valuation check.

### Validating a market thesis
A manager believes the Office sector is undervalued. They ask for a `get_market_sector_summary`, which returns low grades, but they also request `get_news_articles`. The agent presents both data points, allowing them to weigh quantitative weakness against qualitative news context.

### Mapping client risk exposure
A broker is showing a portfolio. They use the MCP to run `get_portfolio_breakout` on the client's assets and immediately cross-reference that breakout with `list_sectors` to identify unmanaged concentration risks.

### Comparing asset performance over time
You suspect a market might be overheating. You ask for current grades using `get_market_grades`, then immediately request `get_historical_transactions`. The comparison reveals if recent sales activity justifies the current high rating.

## Benefits

- You stop manually pulling separate reports. By using `get_company_summary` and `list_companies`, your agent pulls all the necessary financial data for multiple REITs at once.
- Understand risk immediately by cross-referencing historical data with current grades. You can use `get_historical_transactions` to see market volatility, then compare that against a positive `get_market_grades` reading.
- Stop guessing about future values. Use the MCP's forecast tools—like `get_market_projections` and `get_forecast_scenarios`—to generate NOI predictions based on current sector trends.
- Audit complex portfolios easily. Instead of opening multiple reports, ask the agent to use `get_portfolio_breakout` to show asset distribution by region or property type instantly.
- Keep up with market shifts without reading 50 articles. Use `get_news_articles` to search for curated CRE news and pull key excerpts right into your analysis.

## How It Works

The bottom line is you talk to your agent like talking to an analyst, and it handles the complex database retrieval behind the scenes.

1. Subscribe to the Green Street MCP and provide your Client ID and Secret via Vinkius.
2. Ask your agent a natural language question, such as 'What are the market grades for office space in Chicago?'
3. The MCP executes the necessary tool calls against the Green Street API and returns structured data directly into your chat.

## Frequently Asked Questions

**How do I use get_market_grades to compare different areas?**
Just ask for `get_market_grades` and specify the two locations you want compared. The agent will fetch and display the grades side-by-side, allowing for immediate comparison.

**Does get_nav_estimates use current data?**
Yes, `get_nav_estimates` calculates Net Asset Value based on the most recent available portfolio data. It provides a strong figure for underwriting purposes.

**What should I do if my company isn't listed in list_companies?**
The MCP can still help you check specific metrics. If you know the symbol, try `get_company_summary` directly. The tool works on symbols even if they aren't fully indexed.

**Can I get market forecasts for a sector using get_market_projections?**
Yes. You combine the sector context by asking for `get_market_sector_summary` and then follow up to request `get_market_projections` on that specific segment.

**How do I authenticate my account to use list_companies?**
You must connect using your Green Street Client ID and Client Secret. Vinkius manages the secure connection; you just provide those credentials when setting up your MCP.

**What input is required for get_portfolio_breakout?**
The tool requires a specific REIT or company symbol to function. You must provide the ticker they cover, like Prologis's PLD, so it can pull accurate portfolio data.

**Are there usage restrictions when I call get_earnings_metrics?**
Yes, standard rate limits apply to prevent overuse. If you hit a limit, your agent will receive an error; simply wait a few minutes and try running the request again.

**What geographic scope does the get_news_articles tool cover?**
The tool searches curated commercial real estate news specific to major market shifts. Its focus is on CRE developments, not general global or local news feeds.

**Can my agent retrieve NAV estimates for a specific REIT in Green Street?**
Yes. Use the 'get_nav_estimates' tool. The agent will fetch Net Asset Value estimates, helping you evaluate listed companies against their private market valuations flawlessly.

**How do I access forward-looking market projections via chat?**
Use the 'get_market_projections' tool. Your agent will retrieve NOI forecasts and sector growth projections generated by Green Street's advisory teams, providing deep strategic foresight flawlessly.

**Can I search for recent news related to specific property sectors through the agent?**
Absolutely. Use the 'get_news_articles' tool. Provide a keyword or sector (e.g., 'Industrial' or 'Office'). The agent will perform a scan across curated commercial real estate news and return ranked excerpts natively.