Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Multifamily real estate deal analysis — cap rate, DSCR, IRR, DFP Score, max offer price
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
DFP_API_KEYLos valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"dealflowpro": {
"command": "npx",
"args": [
"-y",
"dealflowpro-mcp"
],
"env": {
"DFP_API_KEY": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add dealflowpro --env DFP_API_KEY=your-value -- npx -y dealflowpro-mcpCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"dealflowpro": {
"command": "npx",
"args": [
"-y",
"dealflowpro-mcp"
],
"env": {
"DFP_API_KEY": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"dealflowpro": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"dealflowpro-mcp"
],
"env": {
"DFP_API_KEY": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub jbechtel-97, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
Debes completar: DFP_API_KEY
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (1.4.0) llegó al registro hace 10 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, Verbaly
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
i18n for coding agents: extract, check and translate an app's text, with drafts a person approves
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
Analyze multifamily real estate deals from Claude Code, Cursor, Claude Desktop, or any MCP-compatible client.
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) and an optional price-per-unit ceiling |
market_data | Flood zone, mapped wetlands, neighborhood income vs state median, rent burden, job growth for any US address |
All four carry MCP 2025-06-18 annotations (title, readOnlyHint, destructiveHint, idempotentHint, openWorldHint). Every tool is read-only.
This repo doubles as a Claude Code / Cowork plugin. The plugin connects to the remote server at https://dealflowpro.io/mcp rather than the npm package above, which means:
list_my_deals, get_deal_analysis, get_my_criteria, and portfolio_summary — your saved deals, buy-box criteria, and pipeline, scoped to your account.DFP_API_KEY to export; you sign in to your DealFlowPro account when the plugin connects.claude --plugin-dir /path/to/dealflowpro-mcp-server
Use the npm package below instead if you want a local stdio server, prefer API key auth, or are wiring DealFlowPro into a non-Claude MCP client.
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 is authenticated, with a Bearer API key or, on the remote endpoint, an OAuth sign-in. Calls are scoped to the account that issued the key or signed in — 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 |
|---|---|---|---|
| Free | 5 requests, lifetime | — | free, no card |
| 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 for the four compute tools (analyze_deal, score_deal, reverse_calc, market_data). The four saved-pipeline tools on the remote server (list_my_deals, get_deal_analysis, get_my_criteria, portfolio_summary) are MCP-only and need an Essentials plan or higher.
Eval harness pattern. For benchmarking, the recommended pattern: maintain a fixture set of (deal payload → expected metrics) pairs, run each against score_deal (the lightest tool; each call still counts as one request, so budget for it under the tier table above), 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.
You have two install paths — pick the one that matches your client.
Use this for claude.ai web (Custom Connectors), Claude Code with HTTP transport, or Claude API mcp_servers. The endpoint is https://dealflowpro.io/mcp (Streamable HTTP, MCP 2025-06-18).
claude.ai web / Claude Desktop: DealFlowPro is listed in the Claude Connectors Directory, where you can add it directly, or you can add it yourself as a custom connector — Customize → Connectors → "Add custom connector" → name it DealFlowPro, paste https://dealflowpro.io/mcp → Add → Connect → sign in to DealFlowPro → click Allow. OAuth handles auth automatically (no API key to manage). Then in a chat, click "+" → Connectors → toggle DealFlowPro on.
Add DealFlowPro to Claude → — opens the dialog with the name and URL pre-filled. You still review and confirm before anything is added.
Team / Enterprise plans: members cannot add custom connectors themselves. An organization Owner adds it once under Organization settings → Connectors → Add → Custom (type: Web), and each member then connects their own DealFlowPro account from Customize → Connectors.
Claude Code (HTTP):
claude mcp add dealflowpro \
--transport http \ --url https://dealflowpro.io/mcp \ --header "Authorization: Bearer dfp_sk_your_key_here"
Claude API:
POST https://api.anthropic.com/v1/messages
anthropic-beta: mcp-client-2025-11-20
{ "mcp_servers": [{ "type": "url", "url": "https://dealflowpro.io/mcp", "name": "dealflowpro", "authorization_token": "dfp_sk_your_key_here" }], ... }
Get a Bearer key (free 5-request key, no card, or pay-as-you-go credits) at dealflowpro.io/api.
Full setup details + Connected Apps revocation: dealflowpro.io/api/docs#mcp.
Use this anywhere you want the MCP server running locally instead of remote — or for a client that has no remote-URL path of its own. Claude Desktop supports both: remote via Settings → Connectors, or the local config below.
1. Get an API key. Visit dealflowpro.io/api to claim a free 5-request key (no card) or buy pay-as-you-go credits. Delivered by email.
2. Add to your client.
Claude Desktop — claude_desktop_config.json:
{
"mcpServers": { "dealflowpro": { "command": "npx", "args": ["-y", "dealflowpro-mcp"], "env": { "DFP_API_KEY": "dfp_sk_your_key_here" } } } }
Claude Code:
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)
| Metric | Value |
|---|---|
| Cap Rate | 4.48% |
| DSCR | 0.86 |
| Cash-on-Cash | -1.95% |
| IRR | -12.17% |
| NOI | $89,524 |
$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