dealscanner

endpoint

https://mcp.dealscanner.io/mcp

protocol

http-sse ·2025-06-18

authentication

none observed

public key

none — nobody has proven they own this listing · is it yours? claim it

karma

0 · newcomer

Is dealscanner live?

Yes — it answered the hub's last check (checked 1h ago). It answered 98% of checks over the last 30 days.

Is dealscanner free to use?

Not anonymously — it asks for a key or a login before it will serve. Whether that key costs anything is the operator's plan to say: the hub measured the door, not the pricing.

What tools does dealscanner have?

7 tools: get_property, area_stats, get_comps, top_investment_areas, whoami, search_deals, analyze_brrrr.

Is dealscanner safe to connect?

The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

• get_comps reads auth-required 20h ago

  Get recently sold comparable properties. Args: query: Address or area substring to match. limit: Max results (1-100).

  mcp-tool

  12345678910111213141516

  {
    "type": "object",
    "title": "get_compsArguments",
    "properties": {
      "limit": {
        "type": "integer",
        "title": "Limit",
        "default": 25
      },
      "query": {
        "type": "string",
        "title": "Query",
        "default": ""
      }
    }
  }

  arguments 16 lines copy
• top_investment_areas reads auth-required never probed

  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.

  mcp-tool

  12345678910111213141516

  {
    "type": "object",
    "title": "top_investment_areasArguments",
    "properties": {
      "limit": {
        "type": "integer",
        "title": "Limit",
        "default": 10
      },
      "sort_by": {
        "type": "string",
        "title": "Sort By",
        "default": "cap_rate"
      }
    }
  }

  arguments 16 lines copy
• whoami reads auth-required never probed

  Return the identity and scopes of the current DealScanner API principal.

  mcp-tool

  12345

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

  arguments 5 lines copy
• search_deals reads auth-required 20h ago

  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.

  mcp-tool

  1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374757677787980818283848586

  {
    "type": "object",
    "title": "search_dealsArguments",
    "properties": {
      "beds": {
        "anyOf": [
          {
            "type": "integer"
          },
          {
            "type": "null"
          }
        ],
        "title": "Beds",
        "default": null
      },
      "baths": {
        "anyOf": [
          {
            "type": "integer"
          },
          {
            "type": "null"
          }
        ],
        "title": "Baths",
        "default": null
      },
      "limit": {
        "type": "integer",
        "title": "Limit",
        "default": 25
      },
      "query": {
        "type": "string",
        "title": "Query",
        "default": ""
      },
      "source": {
        "type": "string",
        "title": "Source",
        "default": "market"
      },
      "strategy": {
        "type": "string",
        "title": "Strategy",
        "default": "flip"
      },
      "max_price": {
        "anyOf": [
          {
            "type": "integer"
          },
          {
            "type": "null"
          }
        ],
        "title": "Max Price",
        "default": null
      },
      "min_price": {
        "anyOf": [
          {
            "type": "integer"
          },
          {
            "type": "null"
          }
        ],
        "title": "Min Price",
        "default": null
      },
      "property_class": {
        "anyOf": [
          {
            "type": "string"
          },
          {
            "type": "null"
          }
        ],
        "title": "Property Class",
        "default": null
      }
    }
  }

  arguments 86 lines copy
• analyze_brrrr reads auth-required never probed

  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.

  mcp-tool

  123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566

  {
    "type": "object",
    "title": "analyze_brrrrArguments",
    "properties": {
      "arv": {
        "anyOf": [
          {
            "type": "number"
          },
          {
            "type": "null"
          }
        ],
        "title": "Arv",
        "default": null
      },
      "address": {
        "anyOf": [
          {
            "type": "string"
          },
          {
            "type": "null"
          }
        ],
        "title": "Address",
        "default": null
      },
      "rehab_cost": {
        "anyOf": [
          {
            "type": "number"
          },
          {
            "type": "null"
          }
        ],
        "title": "Rehab Cost",
        "default": null
      },
      "monthly_rent": {
        "anyOf": [
          {
            "type": "number"
          },
          {
            "type": "null"
          }
        ],
        "title": "Monthly Rent",
        "default": null
      },
      "purchase_price": {
        "anyOf": [
          {
            "type": "number"
          },
          {
            "type": "null"
          }
        ],
        "title": "Purchase Price",
        "default": null
      }
    }
  }

  arguments 66 lines copy
• get_property reads unknown 20h ago

  Get the full DealScanner analysis for one property by street address. Args: address: Full property address. strategy: "flip", "rental", or "brrrr".

  mcp-tool

  123456789101112131415161718

  {
    "type": "object",
    "title": "get_propertyArguments",
    "required": [
      "address"
    ],
    "properties": {
      "address": {
        "type": "string",
        "title": "Address"
      },
      "strategy": {
        "type": "string",
        "title": "Strategy",
        "default": "flip"
      }
    }
  }

  arguments 18 lines copy
• area_stats reads unknown 9h ago

  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.

  mcp-tool

  123456789101112131415161718

  {
    "type": "object",
    "title": "area_statsArguments",
    "required": [
      "name"
    ],
    "properties": {
      "name": {
        "type": "string",
        "title": "Name"
      },
      "area_type": {
        "type": "string",
        "title": "Area Type",
        "default": "neighborhood"
      }
    }
  }

  arguments 18 lines copy

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.