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Independent project, not affiliated with Anthropic

Dealflowpro

jbechtel-97/dealflowpro-mcp-server
authSTDIOregistry active
Summary

Wraps the DealFlowPro REST API to run institutional grade multifamily real estate underwriting directly from Claude. Exposes four tools: analyze_deal for full cap rate, DSCR, cash on cash, IRR, and 10 year cashflow projections; score_deal for quick screening with a 0 to 100 DFP Score; reverse_calc to compute maximum offer price from your target returns; and market_data to check flood zones and neighborhood demographics for any address. Built for syndicators and operators who need to screen 2 to 200 unit deals without opening Excel. Requires a paid API key from dealflowpro.io starting at $1 per request or $79/month for 50 daily requests.

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DealFlowPro MCP Server

dealflowpro-mcp-server MCP server

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

DealFlowPro is an AI-powered multifamily deal analysis platform. This MCP server wraps the DealFlowPro REST API, giving AI agents access to institutional-grade underwriting calculations.

Demo

DealFlowPro MCP Server analyzing a 24-unit deal in Claude Code

What You Can Do

Ask Claude naturally and it calls the right tool:

  • "Analyze this 24-unit deal in Charlotte — asking $2M, $13.6K/mo rent, $5.5K expenses"
  • "Score this deal: 12 units, $1.5M, $9K monthly income"
  • "What's the max I should offer on a property with $28.8K/mo rent if I want 8% cash-on-cash?"
  • "Is this property in a flood zone? 2909 Burgess Dr, Charlotte, NC"

Tools

ToolDescription
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

For Institutional AI Teams

DealFlowPro is built to slot into AI eval pipelines and production AI stacks. The MCP server (this package, plus the remote endpoint at https://dealflowpro.io/mcp) wraps the same engine as the REST API — schema-strict, idempotent, predictable.

Auth + scoping. Every tool call requires a Bearer API key. Calls are scoped to the account that issued the key — no cross-tenant access path. Per-tool audit lines land in your account's logs/mcp_tool_calls.log capturing tool name + flattened arg keys (not values) — usage is auditable without exposing deal contents.

Rate limits per tier.

TierDaily limitMonthlyCost
Trial10 requests/day~300free (7-day)
Pay-as-you-gobalance-basedper credits$1/request
Essentials50 req/day~1,500$79/mo
Premium200 req/day~6,000$149/mo
Enterprise1,000 req/day~30,000$399/mo

Rate limit headers (X-RateLimit-Limit, X-RateLimit-Remaining, X-RateLimit-Reset) returned on every response. 429 responses include Retry-After.

Error codes. Stable, documented at dealflowpro.io/api/docs/#errors — all errors are JSON {success: false, error: {code, message}} shape. Codes: invalid_input (400), invalid_json (400), unauthorized (401), tier_required (403), method_not_allowed (405), payload_too_large (413), rate_limit_exceeded (429), internal_error (500).

Tool schemas. Each MCP tool has a schema-strict input definition. Call tools/list against the remote endpoint to get the canonical schemas at runtime; the REST OpenAPI spec covers the same shapes (the four MCP tools map 1:1 to the four REST endpoints).

Eval harness pattern. For benchmarking, the recommended pattern: maintain a fixture set of (deal payload → expected metrics) pairs, run each against score_deal (lowest cost, ~$0.01/call), assert metrics within tolerance. The endpoint is deterministic — same inputs produce the same outputs.

Data handling. Request payloads are processed in memory and not persisted to disk. TLS 1.2+ in transit. Anthropic API calls (when DealFlowPro internally uses Claude for document extraction) flow through DealFlowPro's zero-data-retention Anthropic workspace. Full posture: dealflowpro.io/security#api-mcp-data-handling.

Setup

1. Get an API Key

Visit dealflowpro.io/api to purchase API credits and get your key instantly.

2. Install

Claude Desktop — add to your claude_desktop_config.json:

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

Claude Code — add from the terminal:

claude mcp add dealflowpro -e DFP_API_KEY=dfp_sk_your_key_here -- npx -y dealflowpro-mcp

3. Use It

Just ask Claude about a deal. It automatically picks the right tool.

Example Output

## Deal Analysis Results

**DFP Score: 19/100 (Poor)**

### Key Metrics
| Metric | Value |
|--------|-------|
| Cap Rate | 4.48% |
| DSCR | 0.86 |
| Cash-on-Cash | -1.95% |
| IRR | -12.17% |
| NOI | $89,524 |

### Max Offer Price
**$1,197,476** (binding constraint: cash-on-cash)

API Documentation

Full REST API docs at dealflowpro.io/api/docs

Pricing

  • Pay-as-you-go: $1/API request, starting at $5
  • Essentials: 50 API requests/day included ($79/mo)
  • Premium: 200 requests/day + reverse calculator ($149/mo)
  • Enterprise: 1,000 requests/day ($399/mo)

Requirements

  • Node.js 18+
  • DealFlowPro API key

About DealFlowPro

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.

dealflowpro.io

License

MIT

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Configuration

DFP_API_KEY*secret

Your DealFlowPro API key (get one at dealflowpro.io/api/)

Categories
Sales & Marketing
Registryactive
Packagedealflowpro-mcp
TransportSTDIO
AuthRequired
UpdatedJun 6, 2026
View on GitHub

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