Look Up Loan Officer Production by Asking ChatGPT or Claude

Most loan officers and managers already use ChatGPT or Claude every day. What they’re missing is real mortgage data behind it. Ask a plain AI assistant “who are the top producers in Dallas?” and you’ll get a confident guess — not a number you can act on. The new Model Match MCP server fixes that: it connects your Model Match account to the AI assistant you already use, so the answers come from real production records instead of guesses.

The Model Match MCP server is a secure connection that lets you pull real mortgage market data — loan officer production, company movement, and more — straight into ChatGPT, Claude, or another AI assistant, just by asking in plain English. No new dashboard to learn. You ask a question; it answers with live data tied to NMLS records.

What you can ask about loan officer production

Once you’ve connected Model Match, you can look up any originator’s numbers the same way you’d ask a colleague — except the colleague has the data in front of them. Copy a prompt, fill in the brackets, and adjust the wording to sound like you.

Look up loan officer [name] in [city, state]. Show me their total loan volume, units, and purchase-versus-refinance mix over the last 12 months.

List the top-producing loan officers in [county or metro] who closed more than $[X] million in the last 12 months. Include their company and contact details.

Compare [loan officer]‘s production this year to last year. Is their volume trending up or down?

This is the same loan officer production data you’d find in Market Insights — total dollar volume, unit count, loan types, and purchase-versus-refinance mix — surfaced through a conversation instead of a search screen.

See who’s moving between shops

For managers and anyone watching the competition, the most useful question isn’t just “who’s producing” — it’s “who’s on the move.” Loan officers change companies constantly, and that movement is a signal.

Show me the loan officers who joined or left [company name] in the last 12 months, and where they came from or went.

Who are the top-producing loan officers at [competitor company] in [state] right now?

Ask follow-ups like you would in any chat — “narrow that to purchase-heavy producers” or “only show ones above 50 units” — and the assistant refines the list on the spot. It’s market intelligence at conversation speed, grounded in real transaction data rather than rumor.

How to connect it

Connecting takes a minute and happens once. In ChatGPT or Claude, add Model Match as a connector, sign in with your Model Match account, and approve access. From then on, your assistant can answer mortgage-data questions in any conversation — no API keys, no setup to repeat. Your sign-in is secure, and the data it returns is scoped to your account.

Why this beats a generic AI answer

A general-purpose AI is great at writing emails and bad at knowing who actually closed loans in your market. The difference is the data underneath it:

• Real numbers, not guesses — production tied to live NMLS identifiers, not the model’s best estimate
• Current movement — who recently joined or left a competitor, and where they went
• Contact details — phone and email surfaced alongside the production data
• Plain-English follow-ups — refine by volume, loan type, or market without rebuilding a search

Prefer to stay inside Model Match? Ask Model Match answers the same questions in plain English right in your account. Either way, you’re working from real data instead of a hunch.

Ready to put real production data behind your AI assistant? Start a free trial and connect Model Match to ChatGPT or Claude today.