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HUD MCP — U.S. Department of Housing and Urban Development APIs.
About
HUD MCP — U.S. Department of Housing and Urban Development APIs.
Remote endpoints: streamable-http: https://gateway.pipeworx.io/hud/mcp
Security Report
Valid MCP server (1 strong, 0 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. Trust signals: trusted author (181/181 approved). 1 finding(s) downgraded by scanner intelligence.
6 tools verified · Open access · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-pipeworx-io-hud": {
"url": "https://gateway.pipeworx.io/hud/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
HUD — Housing and Urban Development
The U.S. Department of Housing and Urban Development's data. Fair Market Rents (FMR), Income Limits, USPS Vacancy Data, public housing characteristics, Continuum of Care (homelessness data), Comprehensive Housing Affordability Strategy (CHAS) data. Free, no auth.
Part of Pipeworx — an MCP gateway connecting AI agents to 1476+ live data sources.
Why this matters for AI agents
For housing-affordability analysis, federal benefit thresholds, or homeless services research, HUD is the source. Pair with Census (housing characteristics), Altos (live market data), ATTOM (property-level data), and FRED (mortgage/macro context).
Common flows:
- Fair Market Rent. "What's HUD's FMR for a 2-bedroom in Denver?" — FMR data drives Section 8 voucher amounts.
- Income Limits. "Median income for a family of 4 in Boston?" — drives eligibility for housing programs.
- USPS Vacancy. "What % of housing units are vacant in this ZIP?" — quarterly USPS-derived vacancy rates by tract.
- Homelessness. Point-in-Time count, demographic breakdowns, Continuum of Care reports.
- Public Housing. Authority listings, unit counts, demographic served.
Auth
Most HUD APIs are free, no auth. A few require registering for a free token. Pipeworx supports _apiKey passthrough where applicable.
Datasets worth knowing
| Dataset | Cadence | Use |
|---|---|---|
| Fair Market Rents (FMR) | Annual (Oct 1 effective) | Voucher subsidy levels, rental affordability |
| Income Limits | Annual (Apr) | Section 8 eligibility, LIHTC qualification |
| USPS Vacancy | Quarterly | Vacancy rates by tract |
| AHAR (Annual Homelessness) | Annual | Homelessness counts, demographics |
| CHAS | 5-year | Detailed housing-cost-burden tabulations |
| PIH (Public Housing) | Continuous | Public-housing authority data |
Common pitfalls
- FMR vs. market rent. Fair Market Rent is HUD's policy number used for voucher reimbursement. It's NOT what the market actually charges — typically lags real market rents by 6-18 months. For market reality, use Altos or rental aggregator data.
- AMI varies by household size. "80% of AMI" depends on whether the household has 1, 2, 3, 4+ people. The "Median Income" headline doesn't capture this.
- Vacancy rates from USPS. USPS vacancy isn't true vacancy — it counts units the postal carrier marks as vacant for 90+ days. May undercount short-term vacancies and overcount foreclosures.
- Homeless point-in-time counts undercount. Most jurisdictions do their PIT count one night in late January. Methodology varies by Continuum of Care, and unsheltered counts especially miss people. Treat as a lower bound.
- CHAS data is 5-year smoothed. Like ACS 5-year data — current as of 5 years rolling. For real-time housing affordability changes, layer in faster signals.
- CBSA vs. county FMRs. HUD publishes FMRs at the CBSA (metropolitan/micropolitan area) level. Specific counties may have very different actual rents from their CBSA's FMR average.
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"hud": {
"url": "https://gateway.pipeworx.io/hud/mcp"
}
}
}
What this endpoint actually serves
tools/list at https://gateway.pipeworx.io/hud/mcp returns the tools in the table
above plus the shared Pipeworx meta-tools — ask_pipeworx,
discover_tools, search_within, remember/recall and the rest of the
gateway-wide set. So the tool count you see is larger than this table: a
single-pack endpoint currently lists roughly 30 shared tools alongside the
pack's own. The connection's initialize response states its exact scope, and
is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a
scoped connection answer a question this pack does not cover — via
ask_pipeworx, which routes across the whole catalog — without you adding a
second MCP server. There is currently no way to mount a pack endpoint without
them; if the extra schemas cost you more context than the routing is worth,
connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}
Both URLs reach the same gateway and the same 1476+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
Using with ask_pipeworx
Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:
ask_pipeworx({ question: "your question about Hud data" })
The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
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