MCP server

mtgmon Mortgage Analytics

io.github.lorenzopi/mtgmon

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Read-only U.S. mortgage market, lender, GSE performance, and servicing analytics.

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

10

Token cost

About 7,972 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http mtgmon https://mtgmon.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.mtgmon]
url = "https://mtgmon.com/mcp"

Gemini CLI

{"mcpServers":{"mtgmon":{"httpUrl":"https://mtgmon.com/mcp"}}}

Cursor

{"mcpServers":{"mtgmon":{"url":"https://mtgmon.com/mcp"}}}

VS Code

{"servers":{"mtgmon":{"type":"http","url":"https://mtgmon.com/mcp"}}}

Antigravity

agy mcp add mtgmon https://mtgmon.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"mtgmon","server_url":"https://mtgmon.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"mtgmon","server_url":"https://mtgmon.com/mcp"}

Tools

• compare_lenders ~610 tokens
  Side-by-side HMDA comparison of two lender groups: yearly volume, loans, rank, and market share for both; loan type / purpose / occupancy mix; and the top states with each lender's volume and the volume multiple between them. Requires canonical keys for both lenders: call search_lenders and pass ea
• get_dataset_status ~338 tokens
  Coverage, freshness, and build metadata for every mtgmon dataset. No arguments. Use for: "how current is the data", finding the latest available month or HMDA year before quoting figures, or diagnosing another tool's meta.available=false. Returns data.datasets, a list of {name, description, catego
• get_hmda_product_analytics ~1532 tokens
  HMDA origination counts, reported dollar amounts, averages, and year-over-year growth for one product family, optionally for one property state or one lender, with an annual history back to 2018. Use for: HELOC, reverse-mortgage, or closed-end mortgage origination volume and growth; product mix by
• get_lender_profile ~636 tokens
  HMDA profile for one lender group: annual origination volume, loan counts, denial rate, national rank and market share, top states with market-share multiples, and loan type / purpose / occupancy / loan-size mix. Requires a canonical key: call search_lenders and pass the exact `name` (e.g. 'Rocket/
• get_loan_performance ~1104 tokens
  Fannie Mae and Freddie Mac single-family loan-performance analytics for exactly one topic. Topics: - credit: monthly origination FICO and LTV (origination-UPB weighted). data.series {fico, ltv} and data.latest. - prepayment: monthly CPR and SMM (UPB weighted). - delinquency: monthly 30/60/90+ day d
• get_market_snapshot ~436 tokens
  Latest U.S. mortgage rates, TBA par coupons, Treasury and SOFR benchmarks, and mtgmon's fitted MBS basis in one call. No arguments. Use for: "what are mortgage rates today", 30y vs 15y, current coupon, 2y/10y Treasury, SOFR swap levels, whether MBS spreads are rich or cheap versus the model. Do not
• get_sec_filing ~488 tokens
  Full detail for one SEC filing: metadata and EDGAR link, mtgmon's machine-generated summary, which tracked mortgage entities the filing concerns and in what role, named people with titles and compensation, extracted financial facts, and ownership rows. Get the filing_id from search_sec_filings firs
• get_servicer_analytics ~1068 tokens
  Agency (Fannie Mae / Freddie Mac) servicer analytics in one of three modes. - mode='scorecard': largest servicers ranked by disclosed origination UPB for the current and previous year with average FICO and LTV. Returns data.servicers (top_n rows of {rank, name, volume, previous_volume, avg_fico, av
• search_lenders ~822 tokens
  Find HMDA lenders and resolve names to canonical lender keys. Call this before any other lender tool. Use for: turning a company name ('Rocket', 'UWM', 'Wells Fargo', 'PennyMac') into its canonical key, ranking lenders by origination volume, or listing lenders by charter type or headquarters state.
• search_sec_filings ~938 tokens
  Search SEC EDGAR filings of mortgage-related public companies (lenders, servicers, mortgage REITs, insurers, GSEs) that mtgmon has summarized. Newest filing date first. Use for: finding a company's 10-K, 10-Q, 8-K, or other filings by ticker, CIK, form type, keyword, or date window, and getting the

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