MCP for Claude

42 task-oriented tools Claude can call directly. Most are 1:1 wrappers around REST endpoints — same shape, same data. 5 are composites that collapse multi-step workflows (sponsor-book analysis, drift verdicts, predicate screening, market movers).

Connect Claude

# claude.ai → Settings → Connectors → Add custom connector
URL: https://api.fhalenderdata.com/mcp/

# OAuth is auto-discovered. claude.ai will pop up a sign-in
# the first time you call a tool. Re-grant takes one click.

Add the connector once. Then ask diligence questions in plain English and Claude will pick the right tool from the catalog below — tool docstrings carry intent examples ("use when the user asks X") so selection is consistent across sessions.

Lender lookup & profile

Resolve a name or ID to the lender, then pull any view. The profile call accepts EITHER a HUD lender_id or a name fragment — name-search with multiple hits returns a disambiguation envelope so Claude can re-call with the chosen ID.

find_fha_lender

Search lenders by name → ID + HQ + active branch count + CWT flag. Use when you only have a name and want a quick disambiguation list.

get_lender_profile

Accepts ID or name. Identity, mortgagee type, LI/DE status, branch counts, principal/agent counts, AND folded-in DBAs. Returns multi-match envelope on ambiguous name.

get_lender_performance

Headline CR + SDQ + origs + T/R/S split at any geo, with symmetric area-channel peer benchmark.

get_lender_history

Up to 13 quarter-ends of CR trend with full Total/Retail/Sponsored split per snapshot.

get_lender_branches

All branches with address + phone + DBA + dates.

get_lender_branches_in

Branches scoped to a geography (state / zip / county / msa).

find_lender_by_branch_id

Reverse lookup: branch ID → owning lender.

get_lender_relationships

Principal + agent counterparty lists — who this lender sponsors and who sponsors them.

get_lender_hud_offices

Every HUD field office the lender operates in, with latest AND prior snapshot per office (T/R/S each). The right tool for 'where is this lender at CWT risk right now and is it getting worse'.

Lender — Direct Endorsement (T/R/S)

Total / Retail / Sponsored channel split. Where the sponsor-heavy vs retail-heavy story actually lives.

get_lender_de_breakdown

T/R/S CR + loan counts + area-channel peer benchmark at one geo.

list_lender_de_geos

Every geo at one level where the lender has DE activity, sorted by volume, with T/R/S split. Use to see geographic distribution of the book.

compare_lenders_de_at_geo

N lenders compared side-by-side with T/R/S at one geo.

Geographic discovery

Find lenders in a place. The dispatcher accepts every geo type and folds Metropolitan Divisions for the 11 OMB-split CBSAs (Atlanta/Chicago/NYC/etc). HUD field offices live in their own family because HUD enforcement is geo-scoped per office, 24 CFR 203.3(d).

find_lenders_in_geography

Canonical 'lenders in X' tool. Accepts geography_spec like 'state:CA', 'zip:90210', 'msa:12060', 'county:48201'.

find_lenders_in_hud_office

Lender roster for one HUD office, sorted by volume. Accepts office NAME ('ATLANTA') or numeric CODE ('406').

Geographic aggregates

Single-geo summaries + time series. Works at state / county / msa / zip / tract / cd.

get_geo_summary

Aggregate stats for one geo: originations, distinct lenders, SDQ rate.

get_geo_trend

Time series of any metric at any geo.

get_county_sdq_summary

All counties with originations + SDQ rate. Choropleth-shaped.

get_county_zip_breakdown

ZIPs in a county with per-ZIP SDQ rates.

get_hud_offices_sdq_summary

Every HUD office with originations + SDQ. Choropleth-shaped.

Boundaries

Polygon + centroid data for in-tool map artifacts. State + county polygons aren't exposed — use the us-atlas CDN directly.

get_geo_boundary

Single GeoJSON Feature for one MSA or ZIP (~5–50KB).

get_geo_centroids

Lightweight {code, name, lat, lng, bbox} per geo. For dot/scatter maps.

Geo name resolvers

Convert user-friendly names ('Atlanta', 'TX-23') to the codes other tools want.

find_msa

Name → CBSA code resolver. Matches HUD NW dropdown names.

find_congressional_district

'TX-23' → CD code.

find_tract

11-digit census tract code lookup.

Market analysis

National + cohort lens. Note the composite tools — these collapse multi-step workflows into single calls.

get_market_summary

Latest national snapshot with top-5 by volume + best/worst CR.

compare_lender_to_peers

Lender vs HUD volume-tier peer group (Mega/Large/Medium/Small/Micro).

compare_to_peer_setcomposite

Lender vs custom peer set (explicit list OR auto-pick by volume).

compare_periods

One lender across two snapshot dates with deltas.

get_market_moverscomposite

Top N lenders by QoQ CR swing — 'what changed last quarter'.

get_credit_watch_lenders

Lenders currently flagged on HUD Credit Watch (CWT).

get_recent_de_terminations

Recent Federal Register DE-termination notices with affected lenders.

screen_lenderscomposite

Predicate search ('lenders with CR 140-175, >5K origs, in TX or FL'). Replaces 'string together 5 tool calls' pattern.

flag_lender_driftcomposite

Structured CR-drift verdict (ok / monitor / escalate). Avoids LLM trend-math errors on sparse series.

analyze_sponsor_bookcomposite

End-to-end TPO/correspondent-risk diligence: sponsor's own DE + agent book health + structural verdict.

Servicers

Mirror of the lender-side surface for the servicing leg.

find_servicer

Search servicers by name + portfolio size + tier.

get_servicer_portfolio

Active portfolio + 30/60/SDQ delinquency + foreclosure rate.

get_loss_mit_breakdown

Active workout pipeline + lifetime claims by workout type + workout ratio.

get_top_servicers

Top-N by portfolio size / sdq_rate / workout_ratio.

get_servicer_geo_concentration

State-level concentration of a servicer's portfolio + HHI.

get_servicer_tier_ranking

HUD TRSII tier (1-4) + grade + score + Part-B reimbursement rate.

list_trsii_servicers_by_tier

All servicers at a TRSII tier (1-4) for the latest or named round.

Reference

Data freshness and snapshot metadata.

get_latest_snapshot_info

When the data was last updated + available historical quarters.

Ready to wire Claude in?

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