NCREIF Connector for AI agents.
10 live capabilities
Track institutional commercial real estate performance and fund returns
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Why people use NCREIF
NCREIF for Commercial Real Estate Market Analysis
With this Connector, you just ask your agent for the numbers. You get the latest NPI or ODCE data directly in your chat, ready to be used in your reports immediately.
What Vinkius changes
You get institutional real estate intelligence in your chat window without the manual data hunting.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Quickly checking index performance
A researcher needs to see the last 12 months of NPI data.
- Real-world use case 02
Comparing regional growth
A manager wants to know how Industrial properties performed in a specific region.
- Real-world use case 03
Building a fund overview
An analyst is building a model and needs a list of all funds.
Complete set · 10capabilities
The complete NCREIF capability set.
These are the exact actions your AI can choose when you ask it to work with NCREIF.
01—04
4 capabilities in this set.
Part of 10 available through NCREIF.
- 01 Capability
List market data
View high-level real estate market data across different categories. This provides a broad look at the current market state.
- 02 Capability
Get fund performance
Get specific performance numbers for a real estate investment fund. This helps you quickly assess how a specific fund is doing.
- 03 Capability
Get index data
Pull specific data points for a commercial real estate index. Use this to get the exact numbers for your benchmarks.
- 04 Capability
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.
05—07
3 capabilities in this set.
Part of 10 available through NCREIF.
- 05 Capability
Get property type data
Retrieve performance metrics for types like Office, Retail, or Industrial. This allows for quick comparisons between different real estate sectors.
- 06 Capability
Get region data
Get performance data broken down by specific geographic regions. Use this to identify which areas are seeing the most growth.
- 07 Capability
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.
08—10
3 capabilities in this set.
Part of 10 available through NCREIF.
- 08 Capability
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.
- 09 Capability
List indices
List primary performance indices like the NPI and ODCE. Use this to see what benchmarks are available to you.
- 10 Capability
List properties
List all indexed properties available in the system. This helps you find the correct IDs for specific properties you want to track.
Set up in minutes
One URL. Then ask NCREIF to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use NCREIF from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_cHIgjRHOfDjNe1jX3dAml5nDHkmA2IviCyNrcz5z/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it NCREIF, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable NCREIF for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_cHIgjRHOfDjNe1jX3dAml5nDHkmA2IviCyNrcz5z/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the NCREIF URL.
- Step 03
Save and start
Save the connection and enable NCREIF in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"ncreif": {
"url": "https://edge.vinkius.com/vk_preview_cHIgjRHOfDjNe1jX3dAml5nDHkmA2IviCyNrcz5z/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using NCREIF
Open Agent mode in chat and ask: "Using NCREIF, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"ncreif": {
"url": "https://edge.vinkius.com/vk_preview_cHIgjRHOfDjNe1jX3dAml5nDHkmA2IviCyNrcz5z/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using NCREIF
Ask Copilot: "Using NCREIF, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"ncreif": {
"url": "https://edge.vinkius.com/vk_preview_cHIgjRHOfDjNe1jX3dAml5nDHkmA2IviCyNrcz5z/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using NCREIF
Open Cascade and ask: "Using NCREIF, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"ncreif": {
"url": "https://edge.vinkius.com/vk_preview_cHIgjRHOfDjNe1jX3dAml5nDHkmA2IviCyNrcz5z/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using NCREIF
Ask Cline: "Using NCREIF, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add ncreif --transport http "https://edge.vinkius.com/vk_preview_cHIgjRHOfDjNe1jX3dAml5nDHkmA2IviCyNrcz5z/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using NCREIF
Ask Claude: "Using NCREIF, show me...". 10 tools are ready
Where the request belongs
Work NCREIF can move forward.
This is for real estate professionals who spend too much time copy-pasting data from portals into spreadsheets and need a faster way to query market trends.
Real Estate Analyst
Checks index returns and property performance metrics during research.
Portfolio Manager
Monitors institutional market trends and benchmarks fund performance.
Investment Researcher
Automates the retrieval of complex data series for modeling.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Bring your own AI
Change the model, client or framework. Keep NCREIF connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about NCREIF.
The practical details behind the request, access and result.
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 capability to retrieve performance metrics specifically for categories like Office, Industrial, Retail, or Apartment.
One connection away
Give your agent a direct line to NCREIF.
Connect NCREIF once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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