DealScanner

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

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
96%
Vollständigkeit des Schemas
63%
Qualität der Benennung
91%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Befunde (1)

  • LOWTool 'whoami' description lacks action verbin whoami

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~1,149Tokens (Tool-Definitionen)
~907 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.90% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

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

Remote-Endpunkte

https://mcp.dealscanner.io/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (7)

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🟢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.

Eingabe-Schema

{
  "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".

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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).

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "title": "whoamiArguments"
}

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