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HUD Housing Data MCP Server

Connect your account, then chat with AI to run tools.

HUD User API providing Fair Market Rents (FMR), income limits, Point-in-Time homeless counts, CHAS housing affordability data, and LIHTC tax credit projects.

3 tools
Agent guide included
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AI Skill
SKILL.md

Domain knowledge for HUD Housing Data — workflow patterns, data models, and gotchas for your AI agent.

HUD Housing Data

HUD provides Fair Market Rents (FMR), income limits, PIT homeless counts, CHAS housing affordability data, and LIHTC tax credit projects. FMR available by state, county, metro area, ZIP. Income limits (Very Low, Extremely Low, Low) by area. PIT counts by CoC (Continuum of Care). 60 queries/min rate limit.

Data Model

  • Fair Market Rents (FMR) — annual HUD-determined rent levels by bedroom count for each metropolitan area, county, and ZIP. Used for Section 8 voucher payment standards.
  • Income Limits — Very Low (50% AMI), Extremely Low (30% AMI), Low (80% AMI) thresholds by household size and area.
  • PIT Counts — annual Point-in-Time homeless counts by Continuum of Care (CoC) region. Sheltered vs unsheltered.
  • CHAS data — Comprehensive Housing Affordability Strategy data showing housing problems, cost burden, and affordability by income level, household type, and race/ethnicity at state, county, and city levels (Census ACS special tabulations).
  • LIHTC — Low-Income Housing Tax Credit projects with addresses, unit counts, credit type.

Gotchas

  • Rate limit: 60 queries per minute.
  • State codes: Use 2-letter USPS abbreviations (CA, TX, NY) or FIPS codes.
  • FMR data years: Updated annually, typically available October for the following fiscal year.

Tools in this Server (3)

Hud Get Chas

Get CHAS (Comprehensive Housing Affordability Strategy) data from HUD. Provides housing affordability statistics including housing problems, cost burd...

Hud Get Fmr

Get Fair Market Rent data from HUD. Provide one of: state (two-letter), county_code (5-digit FIPS), metro_code, or zip_code. Returns FMR values by bed...

Hud Get Income Limits

Get HUD income limits — Very Low (50% AMI), Extremely Low (30% AMI), and Low (80% AMI) income thresholds. Provide one of: state (two-letter), county_c...

Frequently Asked Questions

What is the HUD Housing Data MCP server?

HUD User API providing Fair Market Rents (FMR), income limits, Point-in-Time homeless counts, CHAS housing affordability data, and LIHTC tax credit projects. It provides 3 tools that AI agents can use through the Model Context Protocol (MCP).

How do I connect HUD Housing Data to my AI agent?

Add the MCPBundles server URL to your MCP client configuration (Claude Desktop, Cursor, VS Code, etc.). The URL format is: https://mcp.mcpbundles.com/bundle/hud-housing. Authentication is handled automatically.

How many tools does HUD Housing Data provide?

HUD Housing Data provides 3 tools that can be called by AI agents, along with a SKILL.md that gives your AI agent domain knowledge about when and how to use them.

What authentication does HUD Housing Data require?

HUD Housing Data uses API Key. HUD Housing Data requires credentials. Connect via MCPBundles and authentication is handled automatically.

Setup Instructions

Connect HUD Housing Data to any MCP client in minutes

https://mcp.mcpbundles.com/bundle/hud-housing

What is MCP?

Model Context Protocol lets AI tools call external capabilities securely through a single URL. This bundle groups tools behind an MCP endpoint that many clients can use.

Use this bundle in 3 steps

  1. Copy the MCP URL above
  2. Open your AI tool and add a new MCP/connector
  3. Paste the URL and follow any auth prompts

Claude Desktop Users

Skip the manual setup! Use the .mcpb file format for one-click installation. Check the Claude Desktop tab for setup instructions.

Pick your tool tab for exact steps

Select ChatGPT, Cursor, Claude Code, or another tab for copy-paste config.

Ready to use HUD Housing Data?

Sign in to connect your credentials and start running tools from the chat.

HUD Housing Data MCP Server & Skill — 3 Tools