Power your agent
The publisher's own URL. Not a PlugMCP endpoint.
Host a copy with our keys and logs.
https://exchange-production-9123.up.railway.app/mcp/core?c=regThe Claude button above opens Claude with the name and URL filled in. You still confirm it there.
claude mcp add --transport http io.github.capital-w-holdings-us-property-parcel-real-estate-debt https://exchange-production-9123.up.railway.app/mcp/core?c=regRun in a terminal.
{ "mcpServers": { "io.github.capital-w-holdings-us-property-parcel-real-estate-debt": { "command": "npx", "args": [ "-y", "mcp-remote", "https://exchange-production-9123.up.railway.app/mcp/core?c=reg" ] } }}claude_desktop_config.json
Remote URL or a command on your machine? How the two installs differ
Run on PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
LaunchFrom the publisher
One connection, four domains. Real estate is the first and deepest; the same server also answers across family offices, independent sponsors and their capital providers, private companies with a transition coming, and venture capital, with cross-domain identity, relationships, events, matching and verification. See .
Private credit: lenders, sponsor financing, credit facilities, BDC holdings, LP allocations. Cited.
The real estate domain 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 292,039 Massachusetts and New York parcels carry ownership and assessed value and 95,562 recorded sale instruments cover the District of Columbia, 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
Registry: io.github.Capital-W-Holdings/us-property-parcel-real-estate-debt
102 tools, all free, unauthenticated and read-only: no key, no signup, no OAuth.
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.
Every number on this page is measured against production, not typed. Last measured 2026-09-30. Call
dfx_coveragefor the same grid at the moment you read it.
A plain GET on the endpoint returns the full tool list, the coverage numbers 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 endpoint serves the discovery conventions from its own origin, so an index does not have to guess and does not have to be told:
agents.txt names no payment protocol because nothing on this server is priced.
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.
The same connection answers across three more DFX graphs, with one id scheme (dfx:fo:, dfx:isi:, dfx:vc:, and the real estate ids above), one response contract, and cross-graph identity by shared CRD, CIK or EIN only. A same-name entity on another graph is returned as a candidate, never merged.
Family offices. 2,559 offices on the graph (693 candidates, 156 confirmed multi-family, 333 probable single-family, 139 outsourced), 4,238 foundations, 748 offices with 13F positions, 394 with observed direct investments. A candidate is a name, never a class; AUM, RAUM and 13F value are three numbers and are never substituted for one another.
Independent sponsors. 4,167 sponsors, 10,660 capital providers, 97,287 private companies with Department of Labor plan-filing history of which 17,064 carry a transition signal, 317,710 computed company-to-sponsor matches with reasons and blockers, 2,397 announced transactions. A plan-filing signal is one year lagged.
Venture capital. None firms (None with a fund raising in the last 18 months), 76,936 funds with every fund amount kept apart (54,574 with Form D sold), 113,590 people, 47,455 companies and 30,805 rounds. Stated sectors are populated on None firms today, so a sector filter on firms answers NOT_COVERED rather than an empty list; a round is never a check.
Across all of them: search_entities, get_entity (everything on one id: card, relationships, events, evidence, cross-graph links), search_people, search_relationships, relationship_path (how X connects to Y, every hop an evidenced edge), search_events, verify (SUPPORTED, PARTIALLY_SUPPORTED, CONTRADICTED or UNKNOWN, with the observations), and the economic tools find_capital_for_opportunity, find_opportunities_for_capital, explain_match (reasons and blockers, never a bare score), why_now and who_should_care.
Contact points are withheld over MCP on every graph. Call what_can_dfx_answer with domain set to any of family_office, independent_sponsor, venture_capital or real_estate for that domain's entity types, event families, rights, freshness and limitations.
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.
the District of Columbia, Massachusetts and New York: 95,562 instruments over 118,733 property links.
municipal recorder extract: 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.
municipal recorder extract: 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.
statewide assessor roster: 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.
133,404 publishable events across 19 types, written by 20 sources on a published allowlist of 16.
USE_CONVERSION_PERMITTED are Massachusetts only. TAX_LIEN_LISTED are New York only.
FORECLOSURE_FILED are Pennsylvania only. COMPLIANCE_PERIOD_ENDING, LEASE_EXPIRING,
LOAN_MATURITY_SCHEDULED, PORTFOLIO_CONTRACTED, PORTFOLIO_EXPANDED,
SUBSIDY_CONTRACT_EXPIRING are national. Multi-state, with the number of states each
reaches: DISTRESS_FLAG_RAISED (26), FORECLOSURE_EVENT (21), LOAN_MODIFIED (5),
BANKRUPTCY_EVENT (4), PERMIT_ISSUED (3), PROPERTY_SOLD (3),
CERTIFICATE_OF_OCCUPANCY (2), DEMOLITION_FILED (2). PERMIT_STATUS_CHANGED,
VACANT_FORECLOSURE_REGISTERED carries rows that resolve to no state at all, so a state
filter cannot reach it.
debt_maturity_scheduleFree, like everything else on this server. For one US state and one forward window, up to 200 loans per call, one row per loan, ordered by maturity date:
maturity_date and maturity_basisoriginal_principal_usd, current_principal_usd, interest_rate_pct, origination_date, term_monthsinstrument_typesource_key for that rowWhy the dates can be trusted. 19,821 loans carry a maturity date and 19,821 of
19,821 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.
search_property_events returns the event: a date, a headline, an address. The loan
tape 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 19,821 loans on the tape are reached here while
3,281 maturity events are reachable through the event search.
How the loans spread. Of the 19,821 loans, 1,765 mature inside the default 548-day window, and they are not evenly spread. Measured 2026-09-30:
27 further states hold between 1 and 18 loans in that window; Montana and Wyoming hold
within_days to reach further out; each call returns up to 200 loans.145 of those 1,765 carry no single state: a loan secured by several
buildings has no property anchor, so a state filter cannot reach it. Those are reached
through get_property_record.
What it does not cover, stated plainly. These are the gaps the server itself
reports through dfx_coverage, reprinted here so you do not have to call it to find
them:
Loan maturity coverage is federal programme lending only (FHA insured and agency backed). The Registries of Deeds are closed to automation, so conventionally financed property carries no debt record here. A property absent from a maturity search is NOT a property without debt.
LIHTC compliance periods are statutory and every one falls on 31 December, so a count bucketed by day shows a December cliff that is an artefact of the statute rather than a market event.
Permit and demolition coverage is the City of Boston only.
No outcome has ever been observed for any prediction in this graph. Nothing served here carries a calibrated probability; every score is a ranked signal.
One street address can carry several records. Measured across 6,114 such clusters: 2,764 agree on unit count and are plausibly one asset registered by more than one programme, while 3,350 report DIFFERENT unit counts and are probably genuinely different buildings at one address, such as a scattered-site development. DFX has merged none of them and resolve() says which case you are looking at rather than choosing.
Property and parcel are separate populations that barely overlap: 661 clean one-to-one pairs out of roughly 100,000 each. An address may resolve to one, the other, or both, and they are returned as distinct typed objects rather than merged.
PROPERTY RECORDS ARE NOT ONE ROW PER BUILDING. 101,991 published property records cover 94,859 distinct normalised addresses, so a total computed across them overstates by roughly 8%. 245 Park Avenue is one tower and thirteen records, because thirteen securitisation trusts each report it. Every row is individually true, which is why the distortion is invisible per row. Each record carries address_group_size so you can see it: 1 is unique, and above 1 you should deduplicate by address before summing anything. DFX has not merged them because thousands of these clusters carry different unit counts and are genuinely different buildings at one address rather than one building recorded twice.
The sale tape is two sources with different grain, and the difference decides which questions it can answer. MASSACHUSETTS is an assessor roster: statewide, one sale per parcel, buyer named and SELLER NEVER NAMED, so repeat-sale pairs and hold periods are not derivable from it at any volume and no further ingestion of it will change that. NEW YORK is a recorder extract: five boroughs, both parties named, every instrument dated, so repeat sales and hold periods ARE derivable, but only for deeds at or above $10,000,000. Neither one is a national sale tape and DFX does not have one.
Any MCP client that speaks Streamable HTTP. No credentials.
{
"mcpServers": {
"dfx-real-estate": {
"type": "http",
"url": "https://exchange-production-9123.up.railway.app/mcp"
}
}
}
Claude Code:
claude mcp add --transport http dfx-real-estate \
https://exchange-production-9123.up.railway.app/mcp
Both the current protocol revision and the older initialize handshake are served,
because most deployed clients still send the latter.
Some clients launch a subprocess and speak JSON-RPC over its pipes; they have no way to
reach a URL at all. bridge/dfx_mcp_stdio.py is the whole adapter for those: one file,
standard library only, no key, no state. It forwards each message to the endpoint above
and writes the answer back.
{
"mcpServers": {
"dfx-real-estate": {
"command": "python3",
"args": ["/path/to/us-property-parcel-real-estate-debt/bridge/dfx_mcp_stdio.py"]
}
}
}
Use an absolute path. An MCP client launches the command from its own working directory, not yours, so a relative one will not find the file.
Use the URL directly if your client can. The bridge adds a process and a hop and buys
nothing when Streamable HTTP is available. It reads the tool list from the live server
on every tools/list, so an installed copy does not go stale when DFX publishes a new
event family; there is nothing in it that knows what a family is.
changes_since, cursor-based, ordered by when DFX came to know a fact rather than when the fact occurred.)Each is one tool call, the arguments verbatim, and what came back when this page was generated. Paste the call; the numbers are the wire's, not this page's.
Where is the queue? Subsidised projects in Ohio with a waiting list of 24 months or more, deepest first.
{"tool": "search_subsidised_housing", "arguments": {"state": "OH", "min_waiting_months": 24, "limit": 10}}
Returns matched: 69 and ten rows, the longest at 85 months, each with units available, occupancy, rent, household income and what HUD pays per unit, and waiting_list_coverage saying how many projects in the state report a list at all. One annual capture (29,455 projects nationally), stated on every row. A NULL waiting list is an absent disclosure, never an empty queue.
Which banks are past the CRE guidance line? FDIC-insured banks in Ohio whose total CRE exceeds 300% of equity, most concentrated first.
{"tool": "search_bank_cre_exposure", "arguments": {"state": "OH", "above_guidance": true, "limit": 10}}
Returns matched: 8 with each bank's CRE book against equity and assets, noncurrent and charge-off ratios and its UBPR peer and national percentile ranks. 626 of 4,313 banks nationally are over that line on this measure. The guidance tests total risk based capital and these ratios are on equity, so the row says "screen", not "finding".
What matures, and against which building? Securitised and FHA-insured loans on Texas property maturing inside a year, soonest first.
{"tool": "search_property_events", "arguments": {"event_type": "LOAN_MATURITY_SCHEDULED", "state": "TX", "within_days": 365, "limit": 50}}
Returns 73 events (page with next_cursor), each with the building's dfx_id. Then, for any row, get_property_record with that id returns the loan itself free: current principal, interest rate, original principal, maturity and basis. debt_maturity_schedule is the same population as one deduplicated statewide list with the lender name and a completeness figure.
changes_since is ordered by when DFX learned a fact, not when the fact occurred. A deed signed in March is recorded in August. Polling a date filter would show you the same rows forever.event_type is refused with the served vocabulary attached, never answered with an empty list, because an empty list reads as an absent market.resolve_organization returns all candidates rather than guessing one.dfx_coverage before concluding that an empty result means an absent market.16 registered feeds pass the rights filter and serve this endpoint, in 5 families:
Every returned row names its own source, the date it was effective and the date DFX read it. Which individual feeds sit inside a family is not published.
The example code in examples/ is MIT licensed. The data served by the endpoint is
not: it is derived from public federal and municipal sources under DFX's own
processing, and is served for use, not for redistribution as a dataset. Ask if you
want something broader; the answer is often yes.
Operated by DFX Intelligence. Developer reference: https://dfxintel.com/ai/real-estate-mcp
© 2026 MCP Directory.
Private credit: lenders, sponsor financing, credit facilities, BDC holdings, LP allocations. Cited.
{ "mcpServers": { "io.github.capital-w-holdings-us-property-parcel-real-estate-debt": { "url": "https://exchange-production-9123.up.railway.app/mcp/core?c=reg", "headers": {} } }}Tools
No tool list yet. Remote servers get one after the first health check.
FAQ
Copy the http config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.
No required environment variable is listed on this record.
DFX Intelligence is reached over HTTP.
Last checked 2026-11-09. Private credit: lenders, sponsor financing, credit facilities, BDC holdings, LP allocations. Cited.