DFX Real Estate Intelligence: MCP server

DFX answers dated questions about two things: United States commercial and federal-programme real estate debt, where loan maturities are published across 52 state codes, compliance expiries across 56 and subsidy expiries across 54, and property records, where 291,914 Massachusetts parcels carry ownership and assessed value and 95,494 recorded sale instruments cover Massachusetts and New York. Call it when an agent needs to know who owns a specific building, what it last sold for, or which loans and subsidies come due in a given state and time window, with the source and the observation date attached to every claim.

Coverage is deliberately uneven and it is stated up front rather than discovered by trial.

United States, unevenly. NATIONAL: federal programme debt and maturities, LIHTC, HUD subsidy, distress and commercial tenancy. MASSACHUSETTS ONLY: parcels and ownership. RECORDED SALES: Massachusetts statewide, plus New York City deeds at or above $10m. BOSTON ONLY: permits and certificates of occupancy. coverage_by_event_type below is the measured grid, per event family, per state.

The measured per-type, per-state numbers are in Event coverage, measured below, and dfx_coverage returns the same grid at call time so an agent never has to guess from an empty result.

Endpoint: https://exchange-production-9123.up.railway.app/mcp Transport: Streamable HTTP Auth: none, for everything except one paid tool Registry: io.github.Capital-W-Holdings/us-property-parcel-real-estate-debt

12 tools. 11 are free, unauthenticated and permanent: no key, no signup, no OAuth. One is priced at $1.00 per delivered result set and tells you so before it charges you anything.

A tool that answers "no" clearly is worth more to an agent than one that answers an empty list, so this server refuses unknown arguments with the served vocabulary attached, and refuses to sell you a result set that would arrive empty.

Every number on this page is measured against production, not typed. Last measured 2026-09-08. Call dfx_coverage for the same grid at the moment you read it.

Read the schemas before you call anything

A plain GET on the endpoint returns the full tool list, the coverage numbers, the price and a worked example. No handshake, no session, no initialize.

curl -s https://exchange-production-9123.up.railway.app/mcp

Then call a tool over JSON-RPC:

curl -s https://exchange-production-9123.up.railway.app/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":
       {"name":"resolve_address","arguments":
        {"address":"100 Binney St","city":"Cambridge","state":"MA"}}}'

That address returns a parcel carrying a recorded sale, with the registry book and page it was recorded under.

The 12 tools

Start with what_can_dfx_answer if you do not know what to ask for. It says no clearly when the answer is no, and it records the ask, so questions DFX cannot answer shape what gets built next.

What is actually in here

Two populations that barely overlap, and conflating them is the most common way to misread this server.

An address may return one, the other, or both.

Recorded sales

Massachusetts and New York: 95,494 instruments over 118,584 property links.

• massgis_l3: An assessor roster carries the LAST sale, so repeat-sale pairs and hold periods are not derivable from it at any volume. A deed repeats its full consideration on every parcel it covers, so allocated_consideration is carried separately from consideration and allocation_basis says when a split is ours.

• nyc_acris: deeds at or above $10,000,000 consideration. This is a deliberate cut by VALUE and not by date: a date cut would orphan the earlier leg of a repeat-sale pair. A smaller New York sale is outside the tranche, not absent from the city.

• nyc_acris: Fourteen same-day deeds between the same parties are ONE transaction with fourteen instrument ids preserved, and a 318-property deed is one transaction linked to 318 properties. Consideration is stated once per instrument and is never split across its properties. No natural person is named in an event headline, on either side.

Event coverage, measured

74,409 publishable events across 14 types and 13 sources.

CERTIFICATE_OF_OCCUPANCY, DEMOLITION_FILED, PERMIT_ISSUED, USE_CONVERSION_PERMITTED are Massachusetts only. COMPLIANCE_PERIOD_ENDING, LEASE_EXPIRING, LOAN_MATURITY_SCHEDULED, SUBSIDY_CONTRACT_EXPIRING are national. Multi-state, with the number of states each reaches: DISTRESS_FLAG_RAISED (26), FORECLOSURE_EVENT (22), LOAN_MODIFIED (5), BANKRUPTCY_EVENT (4), PROPERTY_SOLD (2). PERMIT_STATUS_CHANGED carries rows that resolve to no state at all, so a state filter cannot reach it.

The one paid tool: debt_maturity_schedule, $1.00

Everything above is free and stays free. This one is priced, and the price is printed in the tool description, in the tool _meta, and in the quote. You are never asked to negotiate, there is no sales call, and there is no field through which a caller can propose a price: the amount is read off the quote, server side.

What you get. For one US state and one forward window, up to 200 loans, one row per loan, ordered by maturity date:

• maturity_date and maturity_basis
• original_principal_usd, origination_date, term_months
• instrument_type
• the lender's canonical name and DFX id where resolved
• the secured property: DFX id, street address, city, state, postal code, unit count, property type
• the source_key for that row

Why it might be worth a dollar. 19,881 loans carry a maturity date and 19,881 of 19,881 carry maturity_basis = 'confirmed'. Not one is estimated, inferred from a term length, or carried forward from a stale reading. Every date was filed with the SEC by a loan servicer or recorded by HUD, and then resolved to a specific building.

The free search_property_events tool returns the event: a date, a headline, an address. The paid one returns the loan: the principal, the lender, the instrument, deduplicated to one row per loan, up to 200 rows instead of 50, with the population stated so you can tell a complete answer from a truncated one. The two populations are different sizes on purpose and both numbers are true: an event has to be promoted to a single place, a loan only has to be filed, so the 19,881 loans on the tape are reached here while 3,422 maturity events are reachable through the free search.

How many rows your dollar actually buys. Of the 19,881 loans, 1,782 mature inside the default 548-day window, and they are not evenly spread. Measured 2026-09-08: