get_market_snapshotPrimary rates, TBA coupons, Treasury and SOFR benchmarks, and MBS basis attribution.
Give ChatGPT, Codex, and other MCP clients structured access to mtgmon market, lender, GSE performance, and servicing data—with source scope, units, as-of dates, and caveats attached.
https://mtgmon.com/mcp
The server favors compact, analysis-ready results over raw data dumps. Every analytical response includes provenance and interpretation guardrails.
get_market_snapshotPrimary rates, TBA coupons, Treasury and SOFR benchmarks, and MBS basis attribution.
get_loan_performanceGSE credit, prepayment, delinquency, transitions, modifications, losses, and lock-in.
search_lendersResolve a lender name to its canonical HMDA key and rank lenders by volume. Call before any other lender tool.
get_hmda_product_analyticsHMDA HELOC, reverse, and closed-end origination counts, dollars, and year-over-year growth by state, lender, and loan attributes.
get_lender_profileVolume, rank, market share, geography, and product mix for one lender group.
compare_lendersNormalized side-by-side HMDA comparison of two canonical lender groups.
get_servicer_analyticsAgency servicer performance, scorecards, and lender servicing-transfer analysis.
get_dataset_statusSource coverage, freshness, build, and cache metadata.
search_sec_filingsSearch summarized SEC filings of mortgage companies by ticker, CIK, form, keyword, or date.
get_sec_filingOne SEC filing with its summary, entity roles, people, and extracted financial facts.
No local server process or API key is required.
Create a developer-mode app in ChatGPT, use the name mtgmon Mortgage Analytics, and enter the endpoint below as its MCP URL.
https://mtgmon.com/mcp
Add the hosted server to your MCP configuration from a terminal.
codex mcp add mtgmon --url https://mtgmon.com/mcp
Choose Streamable HTTP and use the public URL directly. The server is stateless and does not require custom headers.
https://mtgmon.com/mcp
Read-only by contract. All tools carry non-destructive, idempotent annotations and cannot change mortgage data.
Operational monitoring. Aggregate request counts, latency, errors, availability, and tool usage are monitored. Tool arguments and response payloads are not stored in metrics.
Source-aware output. Results distinguish HMDA originations from GSE servicing performance and preserve weighting, units, dates, and caveats.