DealScanner

io.dealscannerPublished by dealscanner.ioOfficial publisherv1.1.0Updated Oct 24, 2026

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

VerifiedStreamable HTTPWeb executableFinanceData & Analytics

Overview

AI-generated overview

Lets an assistant search DealScanner investment properties, pull sold comps, and run flip, rental, and BRRRR analyses on US real-estate deals.

What you can do
DealScanner exposes seven tools over a remote endpoint. search_deals finds investment properties by address, municipality, or neighborhood text, filtered by strategy, price bounds, beds, baths, and property class. get_property returns the full analysis for one address, and analyze_brrrr runs a buy-rehab-rent-refinance-repeat analysis from an existing listing or raw inputs. get_comps returns recently sold comparables, top_investment_areas ranks neighborhoods and municipalities by cap rate, projected flip ROI, inventory, or median price, area_stats aggregates market, sheriff, sold, and investment statistics, and whoami reports the current API principal and its scopes.
When to use it
Useful when an assistant is helping evaluate US residential investment deals: screening listings against a flip, rental, or BRRRR lens, checking sold comps, or deciding which neighborhoods or municipalities to focus on.
Requirements
A remote MCP endpoint; no local package is needed. The manifest declares no authentication, environment variables, or headers, though the whoami tool implies an API principal with scopes. Network access to the DealScanner endpoint is required.
Before you install
The tools only read DealScanner data, but queries and addresses are sent to a third-party service. Access appears to be tied to an API principal with scopes, so check what credentials your client sends and what the principal is allowed to see. Analyses and area rankings are DealScanner's own estimates, not investment advice.

Installation

In SourceWeft

  1. Open DealScanner in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.dealscanner%2Fdealscanner/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

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

README

This repository has no README.

Tools

7

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.

Parametersbedsbathslimitquerysourcestrategymax_pricemin_priceproperty_class

get_property

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

Parametersaddressrequiredstrategy

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.

Parametersarvaddressrehab_costmonthly_rentpurchase_price

get_comps

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

Parameterslimitquery

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.

Parameterslimitsort_by

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.

Parametersnamerequiredarea_type

whoami

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

Takes no parameters.

Version history

1
  1. v1.1.0LatestSep 16, 2026

Score

75% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts
  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts

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  • License10 pts

    Declare a license in the repository or the registry entry.