# Homesage.ai [Health: Active]

**Category:** 🏠 Real Estate  
**Repository:** https://homesage.ai/  
**Views:** 3  
**Installs:** 0  
**Upvotes:** 1  
**Directory Page:** https://allmcps.com/mcp/homesage-ai

## Description
AI-powered investment property search for investors, realtors, and lenders, with real estate APIs for developers and insights across more than 155 million U.S. properties.

## Claude Desktop Quick Installation
No confirmed install details yet, so no config is published. Follow the setup steps in the repository above.

## Documentation

## What Homesage.ai MCP server does

The Homesage.ai MCP server is associated with a real estate platform focused on investment-property search and property data. The available description identifies four audiences: investors, realtors, lenders, and developers. It also states that the platform provides real estate APIs for developers and insights across more than 155 million properties in the United States.

For an agent workflow, the relevant use cases are likely to involve finding investment properties, working with U.S. property information, or incorporating Homesage.ai data into a developer application. However, the supplied material does not identify the specific MCP tools exposed, the fields returned, supported search filters, mutation capabilities, or whether the MCP server is a separate product from the public Homesage.ai service.

## How it works

The Homesage.ai MCP server’s documented context is a property-data service with search, APIs, and real estate insights. The source does not provide an architecture description, endpoint list, transport type, installation command, client configuration, or example requests. As a result, the available information supports only a high-level description of the service rather than an operational MCP integration guide.

Developers evaluating the Homesage.ai MCP server should first confirm whether access is provided through a hosted MCP endpoint, a local package, or an API adapter. They should also verify how an agent authenticates, which property datasets are available, whether geographic or investment criteria can be passed to searches, and whether usage limits apply. None of these implementation details are stated in the supplied material.

## Limitations and notes

The Homesage.ai MCP server cannot be configured reliably from the available listing alone. There is no README, package name, repository command, environment-variable list, license statement, pricing information, or compatible-client declaration. No specific Claude Desktop, Cursor, Windsurf, or Cline setup is documented.

The stated dataset size is more than 155 million U.S. properties, but the material does not define the data’s update frequency, geographic granularity, historical coverage, property attributes, or licensing terms. It also does not explain whether “insights” are generated by Homesage.ai, retrieved from structured records, or exposed through a particular API method.

Before adopting the Homesage.ai MCP server, confirm the current developer access path directly with the service. In particular, request the MCP connection instructions, authentication requirements, available tools, API documentation, rate limits, and commercial terms. These checks are necessary because the listing establishes the real estate focus and broad coverage, but not the technical behavior of an MCP implementation.

_Full upstream README: https://allmcps.com/mcp/homesage-ai/readme_