Dealflowpro MCP Server

Multifamily real estate deal analysis — cap rate, DSCR, IRR, DFP Score, max offer price

Remote serverstreamable-httpGo

What is the Dealflowpro MCP server?

Multifamily real estate deal analysis — cap rate, DSCR, IRR, DFP Score, max offer price. The dealflowpro mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 4 defined tools rather than through you.

What it actually does

Analyze multifamily real estate deals from Claude Code or Claude Desktop. The first real estate underwriting tool in the MCP ecosystem.

DealFlowPro automates multifamily underwriting for 2-200 unit properties. Upload a broker email or OM and get a full investment analysis in 10 minutes instead of 2 hours. Used by operators, syndicators, and PE firms to screen deals faster.

Its toolset

Everything the assistant can do here goes through one of these:

  • analyze_deal — Full deal analysis: cap rate, DSCR, cash-on-cash, IRR, DFP Score (0-100), max offer price, yearly cashflows
  • score_deal — Quick screening: DFP Score + key metrics
  • reverse_calc — Max offer price from target returns (cap rate, CoC, DSCR, IRR)
  • market_data — Flood zone, neighborhood income vs state median, job growth for any address

Adding it to your client

Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.

Configuration

You will need one environment variable: DFP_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

  • Node.js 18+ - DealFlowPro API key

When to reach for it

Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Dealflowpro's toolset — analyze_deal, score_deal, reverse_calc and 1 more — is a fair guide to whether it matches your workflow. It is maintained by jbechtel-97; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Caveats

  • Your data travels to the provider's service, so the usual questions apply about what you send and what they retain.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the dealflowpro mcp server does with a few real requests.

Available tools

ToolWhat it does
analyze_dealFull deal analysis: cap rate, DSCR, cash-on-cash, IRR, DFP Score (0-100), max offer price, yearly cashflows
score_dealQuick screening: DFP Score + key metrics
reverse_calcMax offer price from target returns (cap rate, CoC, DSCR, IRR)
market_dataFlood zone, neighborhood income vs state median, job growth for any address

How to install the Dealflowpro MCP server

{
  "mcpServers": {
    "dealflowpro": {
      "command": "npx",
      "args": ["-y", "dealflowpro-mcp"],
      "env": {
        "DFP_API_KEY": "dfp_sk_your_key_here"
      }
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

  • Node.js 18+ - DealFlowPro API key
VariableDescriptionRequired
DFP_API_KEYCredential the server authenticates with.Yes

Example prompts to try

  • Use Dealflowpro to analyze deal.
  • Use Dealflowpro to score deal.
  • Use Dealflowpro to reverse calc.

Frequently asked questions

It connects Dealflowpro to MCP-compatible AI assistants such as Claude and Cursor, exposing 4 tools (analyze_deal, score_deal, reverse_calc, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Dealflowpro directly.