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Apartment Hunter MCP Server

README.md
# Apartment Hunter

> [!WARNING]
> **Legal Disclaimer:** This is a private automation tool for personal use only. By using this software, you agree to the [Legal Disclaimer and Fair Use Policy](LEGAL.md).

Apartment Hunter is a powerful aggregator and search platform for rental apartments. It automates finding, filtering, and scoring housing options without manually checking websites every hour. **Currently, the system only supports data from `krisha.kz`**, but the architecture allows for easy extension. It supports precise polygon-based geographic search, semantic text search (RAG), and LLM-powered quality scoring.

## Quick Start

```powershell
# 1. Start the MCP server for Codex Desktop / Claude
uv run apartment-hunter-mcp

# 2. Or run the data ingestion pipeline manually
uv run apartment-hunter-ingest
```

### AI Skills
The project includes specialized AI skills in `.agents/skills` to enhance your AI assistant:
- **apartment-search**: Domain workflow for apartment search, ingestion, monitoring, and translating listing jargon.
- **city-district-context-kz**: Provides context on Kazakhstan cities and districts (transport, pricing, livability).
- **html-report-generator**: Generates a visual HTML report of apartments with photos and links, and launches it on localhost.

**How to use skills:**
You don't need to manually install these skills. Simply open this project folder using your favorite AI CLI (like Antigravity CLI / Codex CLI) and the agent will automatically discover and load the skills from the local workspace.

## Use Cases

- **Agents / MCP:** Connect it to Codex Desktop to chat with your apartment database ("Show me 2-bedroom apartments near Megapark under 500k, sort by newest").
- **Precise Geography:** Stop relying on inaccurate text search. Draw a polygon on a map, pass the coordinates, and only get apartments strictly within that exact boundary.
- **AI Scoring:** Automatically rate apartments out of 10 based on renovation quality, furniture condition, and specific user preferences using Vision LLMs.
- **Market Monitoring:** Run ingestion periodically (e.g. via cron) to track price drops and immediately catch new listings before they are rented out.

## Architecture Philosophy

This is a **Library-First** project. The core logic is built as a reusable, source-agnostic Python library. All site-specific scraping and adapters are isolated plugins, ensuring the core remains stable and extensible.

## License

[MIT](LICENSE)

TDQS

A3.5/5.0

Scored across 15 tools

Disambiguation4/5

Most tools have distinct purposes, but `semantic_search` and `search_apartments` could be confused without reading descriptions. Also `analyze_apartment` and `get_apartment_details` overlap slightly.

Naming Consistency4/5

The majority follow a clear verb_noun pattern in snake_case. `semantic_search` is the main deviation, being adjective_noun, but it still reads naturally.

Tool Count5/5

With 15 tools, the server covers all major apartment hunting workflows (discovery, analysis, monitoring, comparison) without being overwhelming.

Completeness4/5

Core operations like search, details, analysis, and profile management are covered. Missing an update search profile tool is a minor gap, but the set handles the primary use cases.

Maintenance

ActivityStale
ResponsivenessNo issues