# NCREIF MCP for AI Agents AI Agent Connect > NCREIF MCP connects your AI agent to institutional commercial real estate data. You can track property performance, pull fund returns, and analyze market indices like the NPI and ODCE without leaving your chat interface. It turns complex real estate data into actionable insights for analysts and portfolio managers. ## Overview - **Category:** real-estate - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_cHIgjRHOfDjNe1jX3dAml5nDHkmA2IviCyNrcz5z/ai-agent-connect - **Tags:** commercial-real-estate, property-performance, fund-returns, market-indices, investment-fiduciaries ## Description When you're trying to make sense of the commercial real estate market, the data usually lives in deep, nested tables on a web portal. You spend your morning jumping between tabs, copying property returns into a spreadsheet, and trying to remember which index actually reflects the current trend. This Connector changes that. It puts the NCREIF data directly into your AI agent's reach. Instead of manual searching, you just ask your agent for the latest performance on a specific fund or a regional market. You can pull historical data for the Property Index or the Fund Index to build out your reports faster. Because Vinkius hosts this, it's easy to plug into your existing workflow and get authoritative data in plain English. You get to spend less time on data entry and more time on the actual analysis that matters for your clients. ## Tools ### list_market_data View high-level real estate market data across different categories. This provides a broad look at the current market state. ### get_fund_performance Get specific performance numbers for a real estate investment fund. This helps you quickly assess how a specific fund is doing. ### get_index_data Pull specific data points for a commercial real estate index. Use this to get the exact numbers for your benchmarks. ### get_property_returns Fetch historical return data for a specific indexed property. It makes it easy to see how a single asset has performed over time. ### get_property_type_data Retrieve performance metrics for types like Office, Retail, or Industrial. This allows for quick comparisons between different real estate sectors. ### get_region_data Get performance data broken down by specific geographic regions. Use this to identify which areas are seeing the most growth. ### list_data_series See all available data categories and series for deeper research. This helps you find the right data points for your specific needs. ### list_funds View a list of all real estate investment funds tracked by NCREIF. This is a great way to get an overview of available funds. ### list_indices List primary performance indices like the NPI and ODCE. Use this to see what benchmarks are available to you. ### list_properties List all indexed properties available in the system. This helps you find the correct IDs for specific properties you want to track. ## Prompt Examples **Prompt:** ``` What's the latest performance for the NPI index? ``` **Response:** ``` I've retrieved the latest data for the **NPI (Property Index)**. | Metric | Value | | :--- | :--- | | Total Return | 5.4% | | Income Return | 4.2% | | Appreciation | 1.2% | Would you like to see the historical data for this index or compare it to the ODCE? ``` **Prompt:** ``` Show me a list of all real estate funds. ``` **Response:** ``` Here are the real estate investment funds currently tracked: - **Fund A** (Industrial focus) - **Fund B** (Office and Retail) - **Fund C** (Multi-family focus) - **Fund D** (Logistics and Warehouse) Would you like the performance history for any of these specifically? ``` **Prompt:** ``` How did the Retail property type perform last quarter? ``` **Response:** ``` For the **Retail** property type, the performance in the last quarter was as follows: * **Total Return:** 1.1% * **Income Return:** 0.9% * **Appreciation:** 0.2% I can also pull this data for Office or Industrial types if you'd like to compare. ``` ## Capabilities ### Pull historical index performance Get historical data for the NPI and ODCE indices to see long-term trends. ### Fetch property-level returns Get specific return metrics for individual indexed properties. ### Analyze market data by region See how different geographic areas are performing in the real estate market. ### Track real estate investment funds View a list of funds and their specific performance history. ### Browse granular data categories Explore various data series for deep research and modeling. ### Inspect specific index metadata Get complete details for specific indices, properties, or funds. ## Use Cases ### Quickly checking index performance A researcher needs to see the last 12 months of NPI data. They ask for the index and the agent pulls it using list_indices. ### Comparing regional growth A manager wants to know how Industrial properties performed in a specific region. They use get_region_data to get the numbers. ### Building a fund overview An analyst is building a model and needs a list of all funds. They use list_funds to get a complete list of names. ### Deep diving into property history A user wants to see the return for a specific property. They use get_property_returns to see the full history. ## Benefits - Get historical data for the NPI and ODCE indices using list_indices to build faster reports. - Compare property types like Office and Retail using get_property_type_data to see market shifts. - Track specific investment funds with list_funds and get_fund_performance for better portfolio oversight. - Pull regional trends using get_region_data to identify high-performing geographic markets. - Access granular categories with list_data_series to find specific data points for deep research. ## How It Works The bottom line is you get institutional real estate intelligence in your chat window without the manual data hunting. 1. Subscribe to the NCREIF MCP on Vinkius. 2. Add your NCREIF API Key to your AI client settings. 3. Ask your agent for real estate market data or fund performance. ## Frequently Asked Questions **Can NCREIF MCP help me find property returns?** Yes, it pulls historical return data for specific indexed properties. You can ask your agent to fetch these numbers for any property you are tracking. **Does NCREIF MCP include the Property Index?** Yes, it includes the NPI (Property Index) and the ODCE (Fund Index). You can retrieve historical data for both of these benchmarks. **Can I use NCREIF MCP to see regional trends?** Yes, you can get performance data broken down by specific geographic regions. This helps you identify which areas are seeing the most growth. **Is NCREIF MCP good for fund tracking?** It is excellent for fund tracking. You can list all tracked funds and then request specific performance history for any of them. **How does NCREIF MCP handle different property types?** The Connector can pull data for various types including Office, Retail, and Industrial. You can compare these sectors to see which are performing best. **Can I see all available data series with NCREIF MCP?** Yes, you can browse all available data categories and series. This is useful for deep research when you need to find specific data points. **How do I get an NCREIF API Key?** NCREIF API access is typically provided to member organizations. You can find or request your API key through the NCREIF Member Portal or by contacting their data services team. **What is the difference between NPI and ODCE indices?** The NPI (NCREIF Property Index) tracks the performance of individual institutional properties, while the ODCE (Open End Diversified Core Equity) tracks the performance of diversified real estate funds. **Can I filter data by property type?** Yes! Use the `get_property_type_data` tool to retrieve performance metrics specifically for categories like Office, Industrial, Retail, or Apartment.