DealScanner

io.dealscanner/dealscannerVersion 1.1.0

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

Status

Responds383 msNov 14, 2026, 14:34 UTCAnswered our handshake without sign-in.

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Last checked: Nov 14, 2026, 14:34 UTC
Latency: 383 ms
Remotes responding: 1 of 1
Sign-in: No sign-in
Hosting: Hosted outside the EU (detected)
Registry data as of: Nov 14, 2026, 22:14 UTC

Data from the official MCP Registry, checked by run.zero. How we check

Connect

Streamable HTTP

https://mcp.dealscanner.io/mcpResponds383 msNov 14, 2026, 14:34 UTC

No sign-in

Claude Code

claude mcp add --transport http dealscanner https://mcp.dealscanner.io/mcp

Claude Desktop and claude.ai

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Settings > Connectors > Add custom connector
Name: dealscanner
Remote MCP server URL: https://mcp.dealscanner.io/mcp

Cursor

{
  "mcpServers": {
    "dealscanner": {
      "url": "https://mcp.dealscanner.io/mcp"
    }
  }
}

VS Code

code --add-mcp '{"name":"dealscanner","type":"http","url":"https://mcp.dealscanner.io/mcp"}'

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Tools

7 tools

Tools of DealScanner
	Description		Read-only	Idempotent	Open world
`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.	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.	Not declared	Not declared	Not declared	Not declared
`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.	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.	Not declared	Not declared	Not declared	Not declared
`get_comps`Get recently sold comparable properties. Args: query: Address or area substring to match. limit: Max results (1-100).	Get recently sold comparable properties. Args: query: Address or area substring to match. limit: Max results (1-100).	Not declared	Not declared	Not declared	Not declared
`get_property`Get the full DealScanner analysis for one property by street address. Args: address: Full property address. strategy: "flip", "rental", or "brrrr".	Get the full DealScanner analysis for one property by street address. Args: address: Full property address. strategy: "flip", "rental", or "brrrr".	Not declared	Not declared	Not declared	Not declared
`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.	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.	Not declared	Not declared	Not declared	Not declared
`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.	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.	Not declared	Not declared	Not declared	Not declared
`whoami`Return the identity and scopes of the current DealScanner API principal.	Return the identity and scopes of the current DealScanner API principal.	Not declared	Not declared	Not declared	Not declared

Details

Registry status: Active
Published: Jun 1, 2026
Updated: Jun 1, 2026
Website: https://www.dealscanner.io/developers⁠ (opens in a new tab)
Repository: https://github.com/mtre-ai/DealGeneraitor-app⁠ (opens in a new tab)
Categories (suggested): CRM Finance and paymentsSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR: Not declared

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