Claude CodeCLI

Why use NCREIF Custom Query MCP Server with Claude Code?

Bring Investment Data
to Claude Code

Name: NCREIF Custom Query MCP Server
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

Create your Vinkius account to connect NCREIF Custom Query to Claude Code and start using all 3 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.

GDPR Free for Subscribers

Execute QueryGet Historical NpiGet Predefined Kpi

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the NCREIF Custom Query MCP Server?

Empower your AI agents with institutional real estate intelligence. This server provides programmatic access to the NCREIF Query Tool API, allowing for deep analysis of the NCREIF Property Index (NPI), Fund Index (ODCE), and specialized timberland/farmland data.

What you can do

Custom Analytics — Execute SQL-like queries to calculate income returns, appreciation, and total returns
Index Monitoring — Access historical and real-time performance data for major US real estate indices
Predefined KPIs — Quickly retrieve key metrics like Cap Rates and Occupancy percentages
Granular Filtering — Filter by property type, region, CBSA, and more using powerful where clauses

How it works

Subscribe to this server
Enter your NCREIF Username and Password (Member/Subscriber credentials)
Start querying institutional data directly from Claude, Cursor, or any MCP client

Built-in capabilities (3)

execute_query

Execute a custom NCREIF query

get_historical_npi

Get historical NPI returns

get_predefined_kpi

Get predefined KPI data

See what your AI agent can do with NCREIF Custom Query

Why Claude Code?

Claude Code registers NCREIF Custom Query as an MCP server in a single terminal command. Once connected, Claude Code discovers all 3 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where NCREIF Custom Query data drives decisions without human intervention.

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Single-command setup: claude mcp add registers the server instantly. no config files to edit or applications to restart
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Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks
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Claude Code runs headlessly, enabling unattended batch processing using NCREIF Custom Query tools in cron jobs or deployment scripts
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Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features

See it in action

NCREIF Custom Query in Claude Code

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Enterprise Security

Why run NCREIF Custom Query with Vinkius?

The NCREIF Custom Query 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 3 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.

View full NCREIF Custom Query details →

Fully ManagedNo server setup

Plug & PlayNo coding needed

SecurePrivacy protected

PrivateYour data is safe

Cost ControlBudget limits

Control1-click disconnect

Auto-UpdatesMaintenance free

High SpeedOptimized for AI

Reliable99.9% uptime

Your credentials and connection tokens are fully encrypted

* 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

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents

Complete visibility into every agent action

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect NCREIF Custom Query using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Explore Analytics

Why Vinkius

NCREIF Custom Query and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect NCREIF Custom Query to Claude Code 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.

4,000+MCP Integrations

<40msResponse time

100%Fully managed

	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

View step-by-step setup guide for Claude Code →

The Vinkius Advantage

How Vinkius secures
NCREIF Custom Query for Claude Code

Every request between Claude Code and NCREIF Custom Query is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.