Bring Commercial Real Estate
to Pydantic AI
Create your Vinkius account to connect NCREIF to Pydantic AI and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
Compatible with every major AI agent and IDE
What is the NCREIF MCP Server?
Connect your NCREIF account to your AI agent and gain authoritative insights into the institutional commercial real estate market through natural conversation.
What you can do
- Index Performance — List and retrieve historical data for NCREIF indices such as the NPI (Property Index) and ODCE (Fund Index).
- Property Oversight — List indexed properties and fetch detailed historical returns and performance metrics.
- Market Analysis — Access high-level real estate market data and aggregated performance by region or property type (Office, Retail, etc.).
- Fund Tracking — View all tracked real estate investment funds and their performance history.
- Data Series Access — Browse granular data series and categories for in-depth real estate research.
- Deep Inspection — Fetch complete metadata for specific indices, properties, or funds using their unique IDs.
How it works
- Subscribe to this server
- Enter your NCREIF API Key
- Start querying commercial real estate intelligence from Claude, Cursor, or any MCP client
Who is this for?
- Real Estate Analysts — quickly check index returns or property performance without opening the NCREIF portal.
- Portfolio Managers — monitor institutional market trends and benchmark fund performance directly from your chat.
- Investment Researchers — automate the retrieval of complex real estate data series for reporting and modeling.
Built-in capabilities (10)
Get specific fund performance
Get specific index data
Get property-level returns
g., Office, Retail, Industrial). Get data by property type
Get performance data by region
List available data series
List real estate funds
g., NPI, ODCE). List NCREIF performance indices
List real estate market data
List indexed properties
Why Pydantic AI?
Pydantic AI validates every NCREIF tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your NCREIF integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your NCREIF connection logic from agent behavior for testable, maintainable code
NCREIF in Pydantic AI
Why run NCREIF with Vinkius?
The NCREIF connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.




Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect NCREIF using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
NCREIF and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect NCREIF to Pydantic AI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
NCREIF for Pydantic AI
Every request between Pydantic AI and NCREIF is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your NCREIF MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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