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Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

jbechtel-97/dealflowpro-mcp-server MCP server](https://glama.ai/mcp/servers/jbechtel-97/dealflowpro-mcp-server/badges/score.svg)](https://glama.ai/mcp/servers/jbechtel-97/dealflowpro-mcp-server) πŸ“‡ ☁️ - Multifamily real estate deal analysis β€” cap rate,...

README.md

DealFlowPro MCP Server

![dealflowpro-mcp-server MCP server](https://glama.ai/mcp/servers/jbechtel-97/dealflowpro-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

<img src="https://dealflowpro.io/images/mcp-demo.png" alt="DealFlowPro MCP Server analyzing a 24-unit deal in Claude Code" width="700">

What You Can Do

Ask Claude naturally and it calls the right tool:

  • "Analyze this 24-unit deal in Charlotte β€” 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

| Tool | Description | |------|-------------| | 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 |

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 β€” schema-strict, idempotent, predictable.

Auth + scoping. Every tool call requires a Bearer API key. Calls are scoped to the account that issued the key β€” 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) β€” usage is auditable without exposing deal contents.

Rate limits per tier.

| Tier | Daily limit | Monthly | Cost | |------|------------:|--------:|-----:| | Trial | 10 requests/day | ~300 | free (7-day) | | Pay-as-you-go | balance-based | per credits | $1/request | | Essentials | 50 req/day | ~1,500 | $79/mo | | Premium | 200 req/day | ~6,000 | $149/mo | | Enterprise | 1,000 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 β€” 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 β†’ expected metrics) pairs, run each against score_deal (lowest cost, ~$0.01/call), assert metrics within tolerance. The endpoint is deterministic β€” 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 β€” 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 β€” 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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