# DealScanner MCP server

Search real-estate deals, rank top areas, run rental/BRRRR/flip analysis, pull sold comps.

## Links
- Registry page: https://www.getdrio.com/mcp/io-dealscanner-dealscanner
- Repository: https://github.com/mtre-ai/DealGeneraitor-app
- Website: https://www.dealscanner.io/developers

## Install
- Endpoint: https://mcp.dealscanner.io/mcp
- Auth: Not captured

## Setup notes
- Remote endpoint: https://mcp.dealscanner.io/mcp

## Tools
- search_deals - Search DealScanner investment properties.

    Args:
        query: Address, municipality, or neighborhood text to match.
        strategy: Investment lens - one of "flip", "rental", "brrrr".
        min_price / max_price: Listing price bounds (USD).
        beds / baths: Minimum bedroom / bathroom count.
        property_class: Comma-separated neighborhood grades (A,B,C,D).
        source: "market" (listed) or "sheriff" (auction).
        limit: Max results (1-100).

    Returns a dict with `results`, `total`, and pagination info.
     Endpoint: https://mcp.dealscanner.io/mcp
- get_property - Get the full DealScanner analysis for one property by street address.

    Args:
        address: Full property address.
        strategy: "flip", "rental", or "brrrr".
     Endpoint: https://mcp.dealscanner.io/mcp
- analyze_brrrr - Run a BRRRR (buy-rehab-rent-refinance-repeat) analysis.

    Provide either `address` to analyze an existing listing, or the raw inputs
    (`purchase_price`, `rehab_cost`, `arv`, `monthly_rent`) for an ad-hoc deal.
     Endpoint: https://mcp.dealscanner.io/mcp
- get_comps - Get recently sold comparable properties.

    Args:
        query: Address or area substring to match.
        limit: Max results (1-100).
     Endpoint: https://mcp.dealscanner.io/mcp
- top_investment_areas - Rank the best areas to invest (neighborhoods + municipalities).

    Answers "where should I invest?" using DealScanner's market intelligence.

    Args:
        sort_by: Ranking metric - one of "cap_rate" (avg cap rate),
            "roi"/"flip_watch" (projected flip ROI), "count" (inventory),
            or "price" (lowest median price first).
        limit: Number of areas to return (1-50).

    Returns a dict with `areas` (name, type, cap_rate, roi, count,
    median_price, ...) sorted by the chosen metric.
     Endpoint: https://mcp.dealscanner.io/mcp
- area_stats - Get aggregated market, sheriff, sold, and investment stats for one area.

    Args:
        name: Neighborhood or municipality name (e.g. "Point Breeze North").
        area_type: "neighborhood" or "municipality".

    Returns counts, median prices, average cap rate, and sold-comp metrics
    for the area.
     Endpoint: https://mcp.dealscanner.io/mcp
- whoami - Return the identity and scopes of the current DealScanner API principal. Endpoint: https://mcp.dealscanner.io/mcp

## Resources
Not captured

## Prompts
Not captured

## Metadata
- Owner: io.dealscanner
- Version: 1.1.0
- Runtime: Streamable Http
- Transports: HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: Jun 1, 2026
- Source: https://registry.modelcontextprotocol.io