mtgmon Mortgage Analytics
REMOTE · MTGMON.COM · SCANNED SEP 20
Read-only U.S. mortgage market, lender, GSE performance, and servicing analytics.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security80
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. See how to fix → View diagnostics → Partial
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- The HSTS (Strict-Transport-Security) header is present. View diagnostics → Pass
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability75
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 6094 tokens (~468/item across 13 items; 10 tools + 3 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 10 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 12 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
How do I install the mtgmon Mortgage Analytics MCP server?
mtgmon Mortgage Analytics is a hosted endpoint at https://mtgmon.com/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · mtgmon.com
claude mcp add --transport http lorenzopi-mtgmon 'https://mtgmon.com/mcp'
{
"mcpServers": {
"lorenzopi-mtgmon": {
"url": "https://mtgmon.com/mcp"
}
}
} {
"servers": {
"lorenzopi-mtgmon": {
"type": "http",
"url": "https://mtgmon.com/mcp"
}
}
} [mcp_servers.lorenzopi-mtgmon] url = "https://mtgmon.com/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"lorenzopi-mtgmon": {
"type": "remote",
"url": "https://mtgmon.com/mcp",
"enabled": true
}
}
} openclaw mcp add lorenzopi-mtgmon --url 'https://mtgmon.com/mcp' --transport streamable-http
mcp_servers:
lorenzopi-mtgmon:
url: "https://mtgmon.com/mcp" {
"McpServers": {
"lorenzopi-mtgmon": {
"Transport": "http",
"Url": "https://mtgmon.com/mcp"
}
}
} assistant mcp add lorenzopi-mtgmon -t streamable-http -u 'https://mtgmon.com/mcp'
{
"mcpServers": {
"lorenzopi-mtgmon": {
"type": "http",
"url": "https://mtgmon.com/mcp"
}
}
} The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 9 Sept 26 +1
No change was recorded against any check on this day. Schema Quality & AI Usability went from 73 to 75.
- 7 Sept 26 +1
- The server rewrote its instructions, which are the text every model session reads security
- Tool “get_lender_profile” rewrote its description, which is the text the model reads security
- Tool “compare_lenders” rewrote its description, which is the text the model reads security
- Tool “get_dataset_status” rewrote its description, which is the text the model reads security
- Tool “get_hmda_product_analytics” rewrote its description, which is the text the model reads security
- Tool “get_loan_performance” rewrote its description, which is the text the model reads security
- Tool “get_market_snapshot” rewrote its description, which is the text the model reads security
- Tool “get_sec_filing” rewrote its description, which is the text the model reads security
- Tool “get_servicer_analytics” rewrote its description, which is the text the model reads security
- Tool “search_lenders” rewrote its description, which is the text the model reads security
- Tool “search_sec_filings” rewrote its description, which is the text the model reads security
- Schema quality: pass → fail ▼ functional
- Tool coverage: 0% → 100% ▲ functional
- Schema quality: good → excellent functional
- Server version: 1.28.1 → 0.2.0 functional
- “compare_lenders” reworded the description of “lender_a” cosmetic
- “compare_lenders” reworded the description of “lender_b” cosmetic
- “compare_lenders” reworded the description of “top_n” cosmetic
- “get_hmda_product_analytics” reworded the description of “business_purpose” cosmetic
- “get_hmda_product_analytics” reworded the description of “construction_method” cosmetic
- “get_hmda_product_analytics” reworded the description of “credit_structure” cosmetic
- “get_hmda_product_analytics” reworded the description of “lender” cosmetic
- “get_hmda_product_analytics” reworded the description of “lien_position” cosmetic
- “get_hmda_product_analytics” reworded the description of “loan_program” cosmetic
- “get_hmda_product_analytics” reworded the description of “loan_purpose” cosmetic
- “get_hmda_product_analytics” reworded the description of “occupancy_type” cosmetic
- “get_hmda_product_analytics” reworded the description of “product_family” cosmetic
- “get_hmda_product_analytics” reworded the description of “reverse_mortgage_status” cosmetic
- “get_hmda_product_analytics” reworded the description of “state” cosmetic
- “get_hmda_product_analytics” reworded the description of “year” cosmetic
- “get_lender_profile” reworded the description of “lender” cosmetic
- “get_lender_profile” reworded the description of “top_n” cosmetic
- “get_loan_performance” reworded the description of “from_date” cosmetic
- “get_loan_performance” reworded the description of “gse” cosmetic
- “get_loan_performance” reworded the description of “max_points” cosmetic
- “get_loan_performance” reworded the description of “to_date” cosmetic
- “get_loan_performance” reworded the description of “top_n” cosmetic
- “get_loan_performance” reworded the description of “topic” cosmetic
- “get_sec_filing” reworded the description of “filing_id” cosmetic
- “get_servicer_analytics” reworded the description of “gse” cosmetic
- “get_servicer_analytics” reworded the description of “lender” cosmetic
- “get_servicer_analytics” reworded the description of “max_points” cosmetic
- “get_servicer_analytics” reworded the description of “mode” cosmetic
- “get_servicer_analytics” reworded the description of “top_n” cosmetic
- “get_servicer_analytics” reworded the description of “vintage” cosmetic
- “search_lenders” reworded the description of “charter” cosmetic
- “search_lenders” reworded the description of “limit” cosmetic
- “search_lenders” reworded the description of “min_volume” cosmetic
- “search_lenders” reworded the description of “query” cosmetic
- “search_lenders” reworded the description of “sort” cosmetic
- “search_lenders” reworded the description of “state” cosmetic
- “search_sec_filings” reworded the description of “cik” cosmetic
- “search_sec_filings” reworded the description of “cursor” cosmetic
- “search_sec_filings” reworded the description of “form” cosmetic
- “search_sec_filings” reworded the description of “from_date” cosmetic
- “search_sec_filings” reworded the description of “limit” cosmetic
- “search_sec_filings” reworded the description of “query” cosmetic
- “search_sec_filings” reworded the description of “summary_status” cosmetic
- “search_sec_filings” reworded the description of “ticker” cosmetic
- “search_sec_filings” reworded the description of “to_date” cosmetic
- Tool “compare_lenders” changed its title: Compare HMDA lenders cosmetic
- Tool “get_dataset_status” changed its title: Dataset status cosmetic
- Tool “get_hmda_product_analytics” changed its title: HMDA product analytics cosmetic
- Tool “get_lender_profile” changed its title: HMDA lender profile cosmetic
- Tool “get_loan_performance” changed its title: GSE loan performance cosmetic
- Tool “get_market_snapshot” changed its title: Market rate snapshot cosmetic
- Tool “get_sec_filing” changed its title: SEC filing detail cosmetic
- Tool “get_servicer_analytics” changed its title: Agency servicer analytics cosmetic
- Tool “search_lenders” changed its title: Search HMDA lenders cosmetic
- Tool “search_sec_filings” changed its title: Search SEC filings cosmetic
- 5 Sept 26 0
- Schema quality: 47 → 52 ▼ functional
- New tool “get_hmda_product_analytics” functional
- 26 Aug 26 +1
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 25 Aug 26 +1
- Stability: 0.97 → pass security
- 23 Aug 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
- 11 Aug 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 7 Aug 26 0
- The server no longer declares the “experimental” capability functional
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 20 Sept 2026 · Probed https://mtgmon.com/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=mtgmon.com | CN=YE1,O=Let's Encrypt,C=US | 31 Aug 2026 | 29 Nov 2026 | ECDSA 256 | ECDSA-SHA384 | 5b1c51821e00c8d5d109efe1baa0dfa35a4 |
| SANs: *.mtgmon.com, mtgmon.com | ||||||
| CN=YE1,O=Let's Encrypt,C=US (CA) | CN=Root YE,O=ISRG,C=US | 3 Sept 2025 | 2 Sept 2028 | ECDSA 384 | ECDSA-SHA384 | 5ddd70dd31f801c85c186a7a04b80afe |
| CN=Root YE,O=ISRG,C=US (CA) | CN=ISRG Root X2,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | ECDSA-SHA384 | 872165fc34b6e5fba8add5b3705fb53a |
| CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) | CN=ISRG Root X1,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | SHA256-RSA | 6c8f1dc727c7117f7baf853ac980f9cd |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of mtgmon.com. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| com. | present | 19718 | 13 | Verified |
| mtgmon.com. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
| Header | Value |
|---|---|
| strict-transport-security | max-age=15552000; includeSubDomains |
| x-content-type-options | nosniff |
| x-frame-options | DENY |
| referrer-policy | strict-origin-when-cross-origin |
| permissions-policy | camera=(), microphone=(), geolocation=() |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://mtgmon.com/mcp | Verified | 200 | |
| http (plaintext) | http://mtgmon.com/mcp | HTTPS enforced | 301 | https://mtgmon.com/mcp |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
compare_lenders Compare HMDA lenders ~426
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 each result's exact `name`. For a single lender use get_lender_profile. Returns data.lenders, data.current_year, data.previous_year, data.yearly (both lenders per HMDA year), data.loan_type_mix, data.loan_purpose_mix, data.occupancy_mix, and data.top_state_comparison (top_n rows with lender_1_volume, lender_2_volume, multiple). Volumes are USD; shares are percent. Behavior: read-only, no auth or API key, no PII, idempotent and safe to retry. The public endpoint https://mtgmon.com/mcp allows about 60 requests/min and 250 tool calls/day per client IP. Result shape is {data, meta}; meta carries available, as_of, source_scope, weighting, units, cache_status, caveats, and truncated. If meta.available is false the data is unavailable or the cache is still warming (retry after a few seconds); never report it as zero.
| Name | Type | Req | Description |
|---|---|---|---|
| lender_a | string | yes | First lender. Canonical HMDA lender key: the exact `name` value from a search_lenders result, e.g. 'Rocket/Quicken' or 'United Wholesale Mortgage'. Legal names such as 'Rocket Mortgage, LLC' do not m… |
| lender_b | string | yes | Second lender, different from lender_a. Canonical HMDA lender key: the exact `name` value from a search_lenders result, e.g. 'Rocket/Quicken' or 'United Wholesale Mortgage'. Legal names such as 'Rock… |
| top_n | integer | – | Maximum states in top_state_comparison, 1-50 (default 10). |
| Name | Type | Req | Description |
|---|---|---|---|
| data | object | – | – |
| meta | – | yes | – |
No examples provided.
get_dataset_status Dataset status ~244
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, category, provider, coverage, last_updated, last_updated_label, stats, refresh} covering GSE loan performance, HMDA, market rates, SEC filings, and derived marts; and data.build {app, lake, cache_backend, cache}. Refresh cadences differ by dataset; read each row's coverage and last_updated. Behavior: read-only, no auth or API key, no PII, idempotent and safe to retry. The public endpoint https://mtgmon.com/mcp allows about 60 requests/min and 250 tool calls/day per client IP. Result shape is {data, meta}; meta carries available, as_of, source_scope, weighting, units, cache_status, caveats, and truncated. If meta.available is false the data is unavailable or the cache is still warming (retry after a few seconds); never report it as zero.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| data | object | – | – |
| meta | – | yes | – |
No examples provided.
get_hmda_product_analytics HMDA product analytics ~920
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 loan program (conventional/FHA/VA/USDA), purpose, lien, occupancy, construction method, or business purpose; state-level or lender-level product questions. Do not use for: lender rankings or market share (search_lenders / get_lender_profile) or GSE loan performance (get_loan_performance). Important: product_family defaults to 'heloc'. Use 'closed_end_mortgage' for ordinary mortgages or 'all' for every HMDA origination. Source is the frozen annual FFIEC/CFPB HMDA Snapshot LAR (one release per year, 2018 onward); state filters use the property state, not the lender's headquarters. Returns data.selected_year, data.current and data.previous (each {year, origination_count, reported_amount_count, reported_amount_sum, average_reported_amount, reported_amount_max, origination_count_yoy_pct, reported_amount_sum_yoy_pct, average_reported_amount_yoy_pct}), data.history (one such row per year), data.filters (applied filters), data.definition, and data.source_releases. Amounts are USD; YoY fields are percent; for HELOCs the amount is credit available, not the drawn balance. Behavior: read-only, no auth or API key, no PII, idempotent and safe to retry. The public endpoint https://mtgmon.com/mcp allows about 60 requests/min and 250 tool calls/day per client IP. Result shape is {data, meta}; meta carries available, as_of, source_scope, weighting, units, cache_status, caveats, and truncated. If meta.available is false the data is unavailable or the cache is still warming (retry after a few seconds); never report it as zero.
| Name | Type | Req | Description |
|---|---|---|---|
| business_purpose | string | – | 'all' (default: consumer + business + exempt/unknown records), 'consumer', 'business', or 'exempt_unknown'. |
| construction_method | string | – | 'all' (default), 'site_built', 'manufactured', or 'unknown'. |
| credit_structure | string | – | 'all' (default), 'open_end', 'closed_end', or 'exempt_unknown'. Usually leave 'all'; product_family already implies it. |
| lender | – | – | Canonical HMDA lender key: the exact `name` value from a search_lenders result, e.g. 'Rocket/Quicken' or 'United Wholesale Mortgage'. Legal names such as 'Rocket Mortgage, LLC' do not match and retur… |
| lien_position | string | – | 'all' (default), 'first', 'subordinate', 'not_secured', 'not_applicable', or 'unknown'. |
| loan_program | string | – | 'all' (default), 'conventional', 'fha', 'va', 'usda_rhs', or 'unknown'. |
| loan_purpose | string | – | 'all' (default), 'purchase', 'home_improvement', 'refinance' (rate/term), 'cash_out_refinance', 'other', 'not_applicable', or 'unknown'. |
| occupancy_type | string | – | 'all' (default), 'principal_residence', 'second_residence', 'investment_property', or 'unknown'. |
| product_family | string | – | 'heloc' (DEFAULT: open-end lines of credit that are not reverse mortgages), 'closed_end_mortgage' (ordinary first and second mortgages), 'reverse_mortgage', 'unclassified_or_exempt', or 'all' (every… |
| reverse_mortgage_status | string | – | 'all' (default), 'reverse', 'not_reverse', or 'exempt_unknown'. Usually leave 'all'; product_family already implies it. |
| state | string | – | Two-letter USPS code of the property state, e.g. 'TX' (not the lender HQ). Empty (default) = nationwide. |
| year | – | – | HMDA activity year, 2018 or later. Default: latest published Snapshot year (see data.selected_year). |
| Name | Type | Req | Description |
|---|---|---|---|
| data | object | – | – |
| meta | – | yes | – |
No examples provided.
get_lender_profile HMDA lender profile ~469
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/Quicken'). Any other spelling returns meta.available=false with empty lists. Use compare_lenders for two lenders side by side. Returns data.lender_key, data.name, data.leis, data.current_year, data.previous_year, data.yearly (one row per HMDA year: originated_volume, originated_loans, purchased_volume, purchased_loans, denied_loans, applications_loans, total_funded_volume, avg_loan_size, denial_rate_pct, denial_rate_count_pct, rank, national_volume, market_share_pct), data.top_states {state, volume, loans, previous_volume, previous_loans} and data.state_market_multiples {state, lender_share_pct, market_share_pct, multiple, ...} (top_n rows each), data.loan_type_mix, data.loan_purpose_mix, data.occupancy_mix ({code, label, loans, volume}), and data.loan_size_histogram. Volumes are USD; shares and rates are percent. Behavior: read-only, no auth or API key, no PII, idempotent and safe to retry. The public endpoint https://mtgmon.com/mcp allows about 60 requests/min and 250 tool calls/day per client IP. Result shape is {data, meta}; meta carries available, as_of, source_scope, weighting, units, cache_status, caveats, and truncated. If meta.available is false the data is unavailable or the cache is still warming (retry after a few seconds); never report it as zero.
| Name | Type | Req | Description |
|---|---|---|---|
| lender | string | yes | Canonical HMDA lender key: the exact `name` value from a search_lenders result, e.g. 'Rocket/Quicken' or 'United Wholesale Mortgage'. Legal names such as 'Rocket Mortgage, LLC' do not match and retur… |
| top_n | integer | – | Maximum rows in top_states and state_market_multiples, 1-50 (default 10). |
| Name | Type | Req | Description |
|---|---|---|---|
| data | object | – | – |
| meta | – | yes | – |
No examples provided.
get_loan_performance GSE loan performance ~878
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 delinquency rates (UPB-weighted stock rates). - loss: monthly loss severity (percent) and net loss (USD billions), plus data.latest_waterfall. - vintage: cumulative default-rate curves by vintage year over loan age (data.series = [{vintage, points}]). - transitions: loan-level monthly flows between Current/DQ30/DQ60/DQ90+/Modified/Liquidated (data.flows, top_n rows of {from, to, loans, upb, prob}) and data.history {cure_history, roll_30_60_history, roll_60_90_history}. - modification: outcomes at 6/12/18/24/36 months after a first 90+ DPD event, Modified vs NotModified arms (data.horizons, data.outcome_states, data.cohort_size, data.pooled, data.recent_vintages). - rate_sensitivity: modelled CPR under rate shocks (data.scenario = [{rate_shock_bps, predicted_cpr}], data.model {current_rate, current_cpr, slope}). - lock_in: active book by WAC vs today's mortgage rate: data.summary {total_upb, loan_count, wac_weighted, pct_below_mtg, pct_200bps_otm, pct_100bps_otm, pct_in_money} and data.largest_wac_age_cells {wac, age_band, upb}. Use for: agency credit quality, prepayment speeds, delinquency, roll and cure rates, modification outcomes, losses, the lock-in effect. Do not use for: originator volume or market share (search_lenders / get_lender_profile), today's rates (get_market_snapshot), per-servicer performance (get_servicer_analytics). Time-series topics return data.series {metric: [{date, value}, ...]} downsampled to max_points, plus data.latest. Scope is public GSE loan-level disclosures, not the whole U.S. market; meta.as_of is the latest reporting month. Behavior: read-only, no auth or API key, no PII, idempotent and safe to retry. The public endpoint https://mtgmon…
| Name | Type | Req | Description |
|---|---|---|---|
| from_date | – | – | Earliest month to include, ISO date YYYY-MM-DD. Applies to credit, prepayment, delinquency, loss, and transitions history. Default: full available history. |
| gse | string | – | 'all' = Fannie Mae + Freddie Mac combined (default), 'fnma' = Fannie Mae only, 'fhlmc' = Freddie Mac only. |
| max_points | integer | – | Maximum points per time series after uniform downsampling, 1-120 (default 60). Use 120 for the finest monthly detail. Applies to time-series, vintage, and transitions topics. |
| to_date | – | – | Latest month to include, ISO date YYYY-MM-DD; must be on or after from_date. Default: latest available month. |
| top_n | integer | – | Maximum ranked rows, 1-50 (default 20): transition flows, modification vintages, or lock-in WAC/age cells. Ignored by other topics. |
| topic | string | yes | Exactly one analytics topic: credit, prepayment, delinquency, loss (monthly time series); vintage (curves by vintage year); transitions (loan-level state flows); modification (post-90DPD outcomes); r… |
| Name | Type | Req | Description |
|---|---|---|---|
| data | object | – | – |
| meta | – | yes | – |
No examples provided.
get_market_snapshot Market rate snapshot ~383
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 use for: rate history (not exposed here) or GSE loan performance (get_loan_performance). Returns data.rates, a list of up to 9 points {series, date, value, previous_value, change} for series MORTGAGE30US and MORTGAGE15US (Freddie Mac PMMS, weekly), tba_par_coupon_30y and tba_par_coupon_15y, 2Y and 10Y Treasury, and SOFR O/N, SOFR 2Y, SOFR 10Y; plus data.mbs_basis {model_version, latest_date, latest_basis_bps, latest_fair_bps, latest_gap_bps, latest_gap_zscore, r2_level_full_sample, ec_half_life_days, ...}. Rates are percent, basis is basis points. Series have different observation dates; quote each point's own date. Behavior: read-only, no auth or API key, no PII, idempotent and safe to retry. The public endpoint https://mtgmon.com/mcp allows about 60 requests/min and 250 tool calls/day per client IP. Result shape is {data, meta}; meta carries available, as_of, source_scope, weighting, units, cache_status, caveats, and truncated. If meta.available is false the data is unavailable or the cache is still warming (retry after a few seconds); never report it as zero.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| data | object | – | – |
| meta | – | yes | – |
No examples provided.
get_sec_filing SEC filing detail ~336
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 first. Returns data.filing {filing_id, accession_number, filer_cik, form, filing_date, company_name, description, canonical_summary, summary_status, summary_model, edgar_url, ...}, data.associations [{display_name, ticker, cik, relationship_role, summary, link_status, ...}], data.people [{name, title, compensation, note}], data.financials [{metric, value, unit, period}], and data.ownership. Each list is capped. Verify summaries against the linked filing before relying on them. Behavior: read-only, no auth or API key, no PII, idempotent and safe to retry. The public endpoint https://mtgmon.com/mcp allows about 60 requests/min and 250 tool calls/day per client IP. Result shape is {data, meta}; meta carries available, as_of, source_scope, weighting, units, cache_status, caveats, and truncated. If meta.available is false the data is unavailable or the cache is still warming (retry after a few seconds); never report it as zero.
| Name | Type | Req | Description |
|---|---|---|---|
| filing_id | string | yes | Filing identifier exactly as returned in a search_sec_filings result's filing_id field, typically the SEC accession number such as '0002100121-26-001023'. Letters, digits, '-' and '_' only. |
| Name | Type | Req | Description |
|---|---|---|---|
| data | object | – | – |
| meta | – | yes | – |
No examples provided.
get_servicer_analytics Agency servicer analytics ~796
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, avg_ltv}), data.current_year, data.previous_year. - mode='performance': monthly CPR and 90+ day delinquency per top servicer for one origination vintage against the whole-book benchmark. Returns data.servicers {name: {cpr: [{date, value}], dq90: [...]}} downsampled to max_points, data.book {cpr, dq90}, data.vintage, data.latest_date. - mode='transfers': where one originator's Fannie Mae loans are serviced today and how servicing moved from the seller. Requires `lender` (canonical key from search_lenders). Returns data.seller_name, data.summary {loan_count, origination_upb, loans_with_transfer, pct_loans_with_transfer, total_transfer_events, ...}, data.latest_active_servicers {servicer, loans, upb, upb_share_pct}, data.top_routes and data.top_named_routes {from_servicer, to_servicer, events, event_share_pct}, data.first_to_latest {first_servicer, latest_servicer, loans, original_upb} (top_n rows each). Use for: "largest servicers", "which servicer prepays fastest or has the worst DQ for the 2021 vintage", "who services Rocket's loans now". Do not use for: HMDA origination volume (get_lender_profile) or book-wide delinquency (get_loan_performance topic='delinquency'). Coverage is disclosed agency loans matched by seller/servicer name, not any servicer's full portfolio. UPB and volume are USD; CPR and DQ90 are percent. Behavior: read-only, no auth or API key, no PII, idempotent and safe to retry. The public endpoint https://mtgmon.com/mcp allows about 60 requests/min and 250 tool calls/day per client IP. Result shape is {data, meta}; meta carries available, as_of, source_scope, weighting, units, cache_status, caveats, and truncated. If meta.available is false the data is u…
| Name | Type | Req | Description |
|---|---|---|---|
| gse | string | – | 'all' = Fannie Mae + Freddie Mac combined (default), 'fnma' = Fannie Mae only, 'fhlmc' = Freddie Mac only. Used by scorecard and performance; transfers is Fannie Mae only. |
| lender | – | – | Canonical HMDA lender key: the exact `name` value from a search_lenders result, e.g. 'Rocket/Quicken' or 'United Wholesale Mortgage'. Legal names such as 'Rocket Mortgage, LLC' do not match and retur… |
| max_points | integer | – | Maximum points per CPR/DQ90 series for mode='performance', 1-120 (default 60). Ignored by other modes. |
| mode | string | yes | 'scorecard' (servicers ranked by disclosed volume), 'performance' (per-servicer CPR and DQ90 series for one vintage), or 'transfers' (one lender's servicing-transfer routes; requires `lender`). |
| top_n | integer | – | Maximum servicers (scorecard, performance) or rows per route list (transfers), 1-25 (default 10). |
| vintage | integer | – | Origination year for mode='performance' (default 2021). Ignored by other modes. |
| Name | Type | Req | Description |
|---|---|---|---|
| data | object | – | – |
| meta | – | yes | – |
No examples provided.
search_lenders Search HMDA lenders ~564
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. Then pass a result's exact `name` (e.g. 'Rocket/Quicken') as `lender` to get_lender_profile, get_hmda_product_analytics, or get_servicer_analytics mode='transfers', or as lender_a / lender_b to compare_lenders. Legal names such as 'Rocket Mortgage, LLC' are not keys and return meta.available=false downstream. Returns data.results (at most `limit` rows of {name, leis, charter_type, hq_state, recent_year, recent_volume, total_loans, volume_rank, subsidiary_count}), data.matched_count, and data.total_count. recent_volume is USD originations in recent_year (the latest HMDA year). Keys are holding-company or originator groups, so subsidiaries and LEIs roll up into one key. Behavior: read-only, no auth or API key, no PII, idempotent and safe to retry. The public endpoint https://mtgmon.com/mcp allows about 60 requests/min and 250 tool calls/day per client IP. Result shape is {data, meta}; meta carries available, as_of, source_scope, weighting, units, cache_status, caveats, and truncated. If meta.available is false the data is unavailable or the cache is still warming (retry after a few seconds); never report it as zero.
| Name | Type | Req | Description |
|---|---|---|---|
| charter | string | – | Filter by charter type exactly as shown in results' charter_type, e.g. 'Bank' or 'Independent Mortgage Company'. Empty (default) = all charter types. |
| limit | integer | – | Maximum results, 1-25 (default 10). |
| min_volume | number | – | Minimum recent-year origination volume in USD, e.g. 1000000000 for $1B+. Default 0 (no floor). |
| query | string | – | Case-insensitive substring of the lender name, e.g. 'rocket', 'united wholesale', 'wells'. Empty (default) returns the top lenders in sort order. |
| sort | string | – | Result order: volume_desc (default, largest recent-year volume first), volume_asc, name_asc, name_desc, loans_desc (most loans first), rank_asc (best volume rank first). |
| state | string | – | Two-letter USPS code of the lender's headquarters state, e.g. 'MI'. Empty (default) = all states. |
| Name | Type | Req | Description |
|---|---|---|---|
| data | object | – | – |
| meta | – | yes | – |
No examples provided.
search_sec_filings Search SEC filings ~618
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 filing_id to pass to get_sec_filing. Do not use for: full filing text (only summaries are stored) or companies outside the mortgage sector. Returns data.filings (at most `limit` rows of {filing_id, accession_number, filer_cik, form, filing_date, company_name, description, summary_status, summary_excerpt, summary_created_at, edgar_url}) and data.next_cursor (pass back as `cursor` for the next page; null when exhausted; meta.truncated is true when more pages exist). Only filings whose summary processing finished are listed; summaries are machine-generated and should be checked against edgar_url. Behavior: read-only, no auth or API key, no PII, idempotent and safe to retry. The public endpoint https://mtgmon.com/mcp allows about 60 requests/min and 250 tool calls/day per client IP. Result shape is {data, meta}; meta carries available, as_of, source_scope, weighting, units, cache_status, caveats, and truncated. If meta.available is false the data is unavailable or the cache is still warming (retry after a few seconds); never report it as zero.
| Name | Type | Req | Description |
|---|---|---|---|
| cik | string | – | SEC Central Index Key of the filer, digits only, e.g. '1805284'. Empty (default) = any filer. |
| cursor | string | – | Opaque pagination token copied from a previous result's data.next_cursor. Empty (default) = first page. |
| form | string | – | SEC form type, e.g. '10-K', '10-Q', '8-K', 'S-1', 'DEF 14A'. Case-insensitive. Empty (default) = all forms. |
| from_date | – | – | Earliest filing date, ISO YYYY-MM-DD. Default: no lower bound. |
| limit | integer | – | Maximum filings per page, 1-25 (default 10). |
| query | string | – | Free-text keyword search over company name and summary text, e.g. 'servicing portfolio sale'. Empty (default) = no text filter. |
| summary_status | string | – | '' (default: all), 'summarized' (a machine summary exists), or 'unavailable' (summary could not be produced). |
| ticker | string | – | Stock ticker of the filer, e.g. 'RKT', 'UWMC', 'PFSI'. Case-insensitive. Empty (default) = any. |
| to_date | – | – | Latest filing date, ISO YYYY-MM-DD; must not be before from_date. Default: no upper bound. |
| Name | Type | Req | Description |
|---|---|---|---|
| data | object | – | – |
| meta | – | yes | – |
No examples provided.
What is the mtgmon Mortgage Analytics MCP server?
mtgmon Mortgage Analytics is an MCP server listed in the public MCP registry as io.github.lorenzopi/mtgmon. Read-only U.S. mortgage market, lender, GSE performance, and servicing analytics. This page covers its hosted endpoint (https://mtgmon.com/mcp).
Is the mtgmon Mortgage Analytics MCP server safe to use?
mtgmon Mortgage Analytics scores 88 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the mtgmon Mortgage Analytics MCP server expose?
mtgmon Mortgage Analytics exposes 10 tools: get_market_snapshot, get_loan_performance, search_lenders, get_hmda_product_analytics, get_lender_profile, and 5 more. Their descriptions and schemas cost roughly 5,634 tokens of context every time the server is loaded.
Does the mtgmon Mortgage Analytics MCP server require authentication?
No. We connected to mtgmon Mortgage Analytics without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the mtgmon Mortgage Analytics MCP server still maintained?
mtgmon Mortgage Analytics is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.