DealScanner
by dealscanner.io in Search & web
Search real-estate deals, rank top areas, run rental/BRRRR/flip analysis, pull sold comps.
https://mcp.dealscanner.io/mcp
Last 30 days
- Uptime
- 100%
- Response time
- 247 ms typical, 247 ms slowest 5%
- Last check
- 1 h ago
- Next check
- in 5 h
How to call it
Add it to any MCP client that supports remote servers.
{
"mcpServers": {
"dealscanner": {
"type": "http",
"url": "https://mcp.dealscanner.io/mcp"
}
}
}7 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
- get_property
Get the full DealScanner analysis for one property by street address. Args: address: Full property address. strategy: "flip", "rental", or "brrrr".
- 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.
- get_comps
Get recently sold comparable properties. Args: query: Address or area substring to match. limit: Max results (1-100).
- 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), "coun
- 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-com
- whoami
Return the identity and scopes of the current DealScanner API principal.
Security scan
- No findings. We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.
Recent checks
| When | Result | HTTP | Time |
|---|---|---|---|
| 1 h ago | Passed | 200 | 247 ms |
| 10 h ago | Passed | 200 | 341 ms |