mcpField
H
Hud

Hud

Remote
pipeworx.ioLegal & Government0Updated 2d ago

About Hud

Hud is an MCP server for U.S. Department of Housing and Urban Development data, for agents and researchers working on housing policy and affordability. It provides access to rent, income, vacancy, homelessness, and public housing datasets.

Key features

  1. 01Fair Market Rent data
  2. 02Housing income limits
  3. 03USPS vacancy data
  4. 04Homelessness and CHAS data
  5. 05Public housing authority data

Use cases

  1. 01Check voucher rent levels by area
  2. 02Review housing-program income eligibility
  3. 03Compare vacancy rates by tract
  4. 04Research homelessness counts and demographics

MCP support

Exposes HUD data tools to MCP clients through Pipeworx or as a standalone local stdio server. The standalone package provides only this pack's tools; the gateway connection also includes shared Pipeworx meta-tools.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://gateway.pipeworx.io/hud/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project 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 1881+ live data sources. This is an independent, unofficial integration — not affiliated with, endorsed by, or published by the upstream provider.

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

DatasetCadenceUse
Fair Market Rents (FMR)Annual (Oct 1 effective)Voucher subsidy levels, rental affordability
Income LimitsAnnual (Apr)Section 8 eligibility, LIHTC qualification
USPS VacancyQuarterlyVacancy rates by tract
AHAR (Annual Homelessness)AnnualHomelessness counts, demographics
CHAS5-yearDetailed housing-cost-burden tabulations
PIH (Public Housing)ContinuousPublic-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 1881+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

No MCP client? Call it over HTTP

curl -X POST https://gateway.pipeworx.io/v1/tools/hud_fair_market_rents \
  -H 'Content-Type: application/json' \
  -d '{"state_code":"CA"}'

No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/hud_fair_market_rents. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.

Standalone (no gateway account)

This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:

{
  "mcpServers": {
    "hud": {
      "command": "npx",
      "args": ["-y", "@pipeworx/mcp-hud"]
    }
  }
}

Or run it directly to confirm it starts:

npx -y @pipeworx/mcp-hud

It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call for only this pack's tools — none of the shared meta-tools the gateway connection above adds. Same source, same tools, no ask_pipeworx routing.

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

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.