Put Model Match inside Claude and ChatGPT
Connect Model Match to any MCP-compatible AI assistant. Ask about lenders, loan officers, agents, and borrowers in plain English — and get answers grounded in real mortgage and real estate records, not the open web.
Trusted by 5,000+ industry professionals
One command to connect
Add the MCP server once, use it everywhere
Drop the Model Match MCP server into Claude, ChatGPT, or any MCP-compatible client. No integration code, no CSV exports, no stale data — your assistant can query originators, market signals, and loans directly.
Added MCP server “modelmatch”
search_originators · market_signals · analyze_loans — ready in your assistant
Market intelligence in Claude
Size up any market without leaving the chat
Ask Claude for the top lenders or loan officers in a metro and it pulls the numbers over the Model Match connection — sorted by volume, sourced, and current — then keeps the thread going as you drill in.
Top mortgage lenders · Charlotte, NC metro · 2026
Agent search in ChatGPT
Find the active agents worth courting
Ask ChatGPT for the most active buyer's agents in a market and it returns a real, current list from Model Match data — names, brokerages, and recent activity — ready to work into your outreach.
Most active buyer's agents · Mesa, AZ · 2026
Production on demand
Pull any originator's production history
Ask for a loan officer's funded production and your assistant charts it straight from Model Match — across years of history, back to 2017, with no dashboards to open and no exports to reconcile.
Daniel Okafor · Summit Mortgage · Austin, TX
Last 12 months: $58.4M funded · 184 units · 68% purchase
Funded volume · last 12 months
Trending up — Q4 his strongest quarter
Renee Alvarez → Lone Star Lending · $31M, last quarter
Marcus Hadley → Capital Peak Mortgage · $22M, 2 mo ago
Context is everything
Give your AI agents 6B+ records of context
An assistant is only as sharp as the data behind it. Connect Model Match over MCP and your agents can reason over 6+ billion mortgage and real estate records — the same data that powers the app — and carry that context into the other tools you already run, so answers stay grounded in the real market instead of the open web.
Your team · May 2026
Funded volume: $48.3M · up 6% from April
Units: 132 loans · 9 loan officers
Strongest market: Charlotte metro · 41% of volume
Scoped to your seat's permissions — the same data you'd see in the app, nothing from the open web.
Connect Model Match to your AI in minutes
Start a 14-day free trial, add the MCP server, and query live mortgage and real estate data from Claude, ChatGPT, or any MCP assistant.
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