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Multifamily real estate deal analysis — cap rate, DSCR, IRR, DFP Score, max offer price
Multifamily real estate deal analysis — cap rate, DSCR, IRR, DFP Score, max offer price
DealFlowPro MCP server is well-architected with proper authentication, secure credential handling via environment variables, and appropriate API scoping. Code quality is solid with input validation via Zod schemas, clear error handling, and no malicious patterns detected. The server's permissions (network HTTP and environment variable access) are proportionate to its purpose as a real estate API client. Minor observations around error handling breadth and logging practices do not materially impact security. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
4 files analyzed · 8 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: DFP_API_KEY
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-jbechtel-97-dealflowpro": {
"env": {
"DFP_API_KEY": "your-dfp-api-key-here"
},
"args": [
"-y",
"dealflowpro-mcp"
],
"command": "npx"
}
}
}From the project's GitHub README.
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.
Ask Claude naturally and it calls the right tool:
| 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 |
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.
| 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 — 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.
Visit dealflowpro.io/api to purchase API credits and get your key instantly.
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
Just ask Claude about a deal. It automatically picks the right tool.
## 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)
Full REST API docs at dealflowpro.io/api/docs
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.
MIT
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