REP Helper

Created By
rephelper-ai2 months ago
REP Helper MCP Server Track and document rental hours for IRS Real Estate Professional Status (REPS) and Short-Term Rental (STR) material participation — all through natural language. Log time entries by property and activity, query year-to-date totals, and pull audit-ready reports without leaving your AI assistant. Built for the 750-hour REPS threshold, the STR 100-hour test, and every participation rule in between. Real estate investors can manage their entire compliance workflow conversationally, while developers can build agents that automatically capture hours from calendars, emails, and task logs. Your hours, your proof, on demand at rephelper.ai.
Overview

REP Helper MCP Server

Track rental hours, document material participation, and generate IRS-ready reports all through natural language. The REP Helper MCP Server connects Claude, Gemini, or ChatGPT, and any MCP-compatible AI agent to your REP Helper account, giving you a conversational interface to the full rental hour tracking and tax qualification workflow.

What you can do with it:

Real estate investors can log hours by property, track participation by activity type (management, maintenance, bookkeeping, leasing), and query their year-to-date totals — all by talking to their AI assistant. Developers can build agents that automatically capture time entries from calendar events, emails, or task logs and push them directly into REP Helper.

Built for two high-stakes IRS tests:

  • Real Estate Professional Status (REPS) — Track the 750-hour threshold and majority-of-services test across your entire portfolio
  • STR Material Participation — Document the 100-hour and more-than-anyone-else tests per property for short-term rental income to qualify as non-passive

Core capabilities exposed via MCP:

Log time entries · Query hours by property, date range, or activity · Retrieve participation summaries · Generate audit-ready reports · Manage properties and team members · Pull year-end documentation packages

Who it's for:

Real estate investors who want to manage REPS and STR compliance through their AI workflow. Tax professionals building automated client tracking. Developers creating agentic real estate tools on top of Claude or ChatGPT.

**Your hours. Your proof. On demand.

Get started at rephelper.ai**

Server Config

{
  "command": "npx",
  "args": [
    "-y",
    "@rephelper/mcp-server"
  ],
  "env": {
    "REPHELPER_API_TOKEN": "rh_live_your_token_here"
  }
}
Project Info
Created At
2 months ago
Updated At
2 months ago
Author Name
rephelper-ai
Star
-
Language
-
License
-
Category

Recommend Servers

View All
//beforeyouship — LLM Cost Modeling From Your Editor
@Indiegoing

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

13 hours ago
Shippo
@Shippo

21 hours ago