MCP server

Housing Intel

io.github.pipeworx-io/housing-intel

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Housing Intel MCP — Meta-pack that chains FRED, BLS, ATTOM, and HUD APIs

Website Source

At a glance

Type

MCP server

Publisher

pipeworx.io (verified by the MCP Registry)

Status

Working at last check

Tools

52

Token cost

About 29,456 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http housing-intel https://gateway.pipeworx.io/housing-intel/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.housing-intel]
url = "https://gateway.pipeworx.io/housing-intel/mcp"

Gemini CLI

{"mcpServers":{"housing-intel":{"httpUrl":"https://gateway.pipeworx.io/housing-intel/mcp"}}}

Cursor

{"mcpServers":{"housing-intel":{"url":"https://gateway.pipeworx.io/housing-intel/mcp"}}}

VS Code

{"servers":{"housing-intel":{"type":"http","url":"https://gateway.pipeworx.io/housing-intel/mcp"}}}

Antigravity

agy mcp add housing-intel https://gateway.pipeworx.io/housing-intel/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"housing-intel","server_url":"https://gateway.pipeworx.io/housing-intel/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"housing-intel","server_url":"https://gateway.pipeworx.io/housing-intel/mcp"}

Tools

• case_shiller_metro_compare ~458 tokens
  Compare Case-Shiller home price indices across multiple US metros in one call (the 20-city composite). For each metro returns latest level, 3-month change, 12-month change, all-time peak, drawdown from peak, and a softening flag. Output also ranks metros softest → strongest. Use for "which metros ar
• housing_affordability_check ~426 tokens
  Check housing affordability in a market. Returns mortgage rate, median price, monthly payment, required income, and HUD limits. Optionally specify metro (e.g., "Denver"). The inputs are official statistics on DIFFERENT cadences — a weekly mortgage rate against a quarterly median price — so the month
• housing_employment_outlook ~218 tokens
  Assess labor market health for housing demand. Returns employment, construction jobs, residential building employment, unemployment rate, and job openings. All BLS monthly releases; each series carries its own `observation_date` and `cadence` (JOLTS runs an extra month behind CES/LAUS), and `freshne
• housing_market_screen ~370 tokens
  Rank US metros for rental cash flow in ONE call — the "which markets are best for a landlord" view. Returns metros sorted by gross rent yield = (Zillow median monthly rent × 12) ÷ Zillow typical home value. No per-metro orchestration and no API key. Use for "best/worst rental markets", "highest-yiel
• housing_market_snapshot ~334 tokens
  Get national housing market overview: mortgage rates, housing starts, Case-Shiller index, unemployment, construction employment. Optionally add metro-level prices (e.g., "Denver", "Atlanta"). For comparing Case-Shiller across multiple metros use case_shiller_metro_compare instead. THE COMPONENTS DO
• housing_metro_demand ~344 tokens
  Demand + rent-durability signals for a shortlist of US metros in ONE call — population & 5-year growth, renter share, median household income, and unemployment, straight from Census ACS. Deterministic by metro (CBSA-keyed) — NO FRED series-ID guessing. Pass `metros` ("City, ST", e.g. the top results
• housing_mortgage_history ~233 tokens
  Freddie Mac Primary Mortgage Market Survey — the weekly US mortgage INTEREST rate (the annual percentage borrowers pay on a home loan, e.g. 6.5%), back to 1971. This is the borrowing cost paid by home buyers. Returns the latest snapshot, a time series for the requested window, and min/max/avg stats.
• housing_property_report ~192 tokens
  Analyze a property by address and zip code. Returns valuation estimate, sales history, tax assessment, and detailed characteristics.
• housing_rental_analysis ~335 tokens
  Evaluate rental investment potential by address and zip code. Returns estimated rent, fair market rents, and CPI rent trends.
• housing_signal_scan ~243 tokens
  Scan 45+ housing indicators for anomalies and reversals. Flags unusual moves across rates, starts, sales, prices, wages, unemployment, and rent. Each signal carries its own `observation_date` and `cadence` — series here span weekly (mortgage rate) to quarterly (median sales price), and Case-Shiller

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