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mcp/skillhub

HousingFeed US Rental Listings MCP Server

com.housingfeed/rental-listingsv1.0.0

US rental listings for AI assistants: free live search and rent statistics, plus licensed feeds.

remoteofficial registry

context tax

pending

security

pending

cold start

hosted

freshness

pending

Our reading of HousingFeed US Rental Listings, from the data

HousingFeed US Rental Listings is an MCP server, listed in the official MCP Registry.

We haven't measured its tool list yet, so its token cost is unknown.

It runs as a hosted endpoint, so there is nothing to install.

Install HousingFeed US Rental Listings MCP server

Install in Claude Code

claude mcp add --transport http rental-listings https://housingfeed.com/mcp

Remote endpoints

  • streamable-httphttps://housingfeed.com/mcp

Freshness

Not enough public signals yet to judge maintenance.

  1. Last commit (default branch)

    no data · GitHub

  2. Latest release

    no data · GitHub

  3. Package published

    no data · npm/PyPI

  4. Registry entry updated

    2026-10-18 · today · official registry · v1.0.0

FAQ

›How do I install the HousingFeed US Rental Listings MCP server in Claude Code?

Run: claude mcp add --transport http rental-listings https://housingfeed.com/mcp. For Cursor, VS Code, Claude Desktop and Windsurf, use the install tabs above.

›Does HousingFeed US Rental Listings require an API key?

No required environment variables are declared in its published metadata.

›Can I use HousingFeed US Rental Listings as a remote (hosted) MCP server?

Yes. It is a hosted MCP server; connect to its URL with any client that supports remote MCP.

›Is HousingFeed US Rental Listings in the official MCP registry?

Yes, as com.housingfeed/rental-listings.

Sources and method

Official MCP Registry entry
updated 2026-10-18
Last checked against all sources
2026-10-19

The description, packages and links come from the maintainer's own published metadata. Token cost, security signals, freshness and the reading above are MCPSkillHub's own measurements; see the methodology. Spot an error? Request a correction or claim the listing.