DealScanner
Search real-estate deals, rank top areas, run rental/BRRRR/flip analysis, pull sold comps.
사용해야 할까요
품질 및 안전성
발견 사항 (1)
- LOWTool 'whoami' description lacks action verbwhoami에서
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.
설치
원클릭 설치
`claude_desktop_config.json` 파일에 다음을 추가하세요:
{
"mcpServers": {
"dealscanner": {
"url": "https://mcp.dealscanner.io/mcp"
}
}
}원격 엔드포인트
https://mcp.dealscanner.io/mcpstreamable-http할 수 있는 일
도구 목록
도구 (7)
🟢search_deals(query, strategy, min_price, max_price, beds, ...)
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.
입력 스키마
{
"type": "object",
"properties": {
"query": {
"default": "",
"title": "Query",
"type": "string"
},
"strategy": {
"default": "flip",
"title": "Strategy",
"type": "string"
},
"min_price": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Min Price"
},
"max_price": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Max Price"
},
"beds": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Beds"
},
"baths": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Baths"
},
"property_class": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Property Class"
},
"source": {
"default": "market",
"title": "Source",
"type": "string"
},
"limit": {
"default": 25,
"title": "Limit",
"type": "integer"
}
},
"title": "search_dealsArguments"
}🟢get_property(address, strategy)
Get the full DealScanner analysis for one property by street address. Args: address: Full property address. strategy: "flip", "rental", or "brrrr".
입력 스키마
{
"type": "object",
"properties": {
"address": {
"title": "Address",
"type": "string"
},
"strategy": {
"default": "flip",
"title": "Strategy",
"type": "string"
}
},
"required": [
"address"
],
"title": "get_propertyArguments"
}🟢analyze_brrrr(address, purchase_price, rehab_cost, arv, monthly_rent)
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.
입력 스키마
{
"type": "object",
"properties": {
"address": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Address"
},
"purchase_price": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Purchase Price"
},
"rehab_cost": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Rehab Cost"
},
"arv": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Arv"
},
"monthly_rent": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Monthly Rent"
}
},
"title": "analyze_brrrrArguments"
}🟢get_comps(query, limit)
Get recently sold comparable properties. Args: query: Address or area substring to match. limit: Max results (1-100).
입력 스키마
{
"type": "object",
"properties": {
"query": {
"default": "",
"title": "Query",
"type": "string"
},
"limit": {
"default": 25,
"title": "Limit",
"type": "integer"
}
},
"title": "get_compsArguments"
}⚪top_investment_areas(sort_by, limit)
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.
입력 스키마
{
"type": "object",
"properties": {
"sort_by": {
"default": "cap_rate",
"title": "Sort By",
"type": "string"
},
"limit": {
"default": 10,
"title": "Limit",
"type": "integer"
}
},
"title": "top_investment_areasArguments"
}🟢area_stats(name, area_type)
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.
입력 스키마
{
"type": "object",
"properties": {
"name": {
"title": "Name",
"type": "string"
},
"area_type": {
"default": "neighborhood",
"title": "Area Type",
"type": "string"
}
},
"required": [
"name"
],
"title": "area_statsArguments"
}⚪whoami
Return the identity and scopes of the current DealScanner API principal.
입력 스키마
{
"type": "object",
"properties": {},
"title": "whoamiArguments"
}커뮤니티
증거