Kira — Romanian rentals

kira-mcp

[ci] [PyPI] [MIT] [python] [MCP]

Ask your AI to find you a flat to rent in Romania — any city, town or commune.

[Demo: asking Claude Code for a flat, kira-mcp searches the sites live]

An MCP server (and a CLI) that searches storia.ro, publi24.ro and lajumate.ro live, merges the results, removes duplicates and non-rentals, and reads the ad text for the things the site filters don't give you: heating type, parking, private owner vs agency, and walking distance to a place you care about.

Works with Claude (Code & Desktop), Cursor, VS Code, Windsurf, Gemini CLI, Codex and any other MCP client. Also usable as a plain CLI.

🇷🇴 Ghid în română

"Find me a 2-room flat in Cluj under 500 €, own boiler, with parking, max 20 minutes on foot from UMF."

$ kira search Brasov --rooms 2 --max-price 500 --heating centrala_proprie --limit 3Brașov, Brașov — 10 matching, showing 3  storia: ok (74 fetched, 374 on site)  publi24: ok (24 fetched)  lajumate: ok (56 fetched, 382 on site)
 1. Studio Maurer Villas partial mobilat    500 EUR | 2 cam | 45 mp | heating: centrala_proprie | parking: included    Tractorul, Brasov, Brasov    https://www.storia.ro/ro/oferta/studio-maurer-villas-partial-mobilat-IDIPoX 2. Apartament pe 2 niveluri, 62 mp, zona Faget-Tractorul    400 EUR | 2 cam | 62 mp | heating: centrala_proprie    ...

Why

Romanian rental sites each cover part of the market, their filters are thin, and the details that decide a viewing — centrală proprie or termoficare? is the parking spot included or "posibilitate de parcare în zonă"? — live in free text. kira-mcp does the tab-juggling and the reading, so an agent can answer the question you actually asked.

Features

• All of Romania: 3,181 localities (municipii, orașe, comune) from Wikidata. Diacritics optional, common shortcuts understood (cluj, tg mures, buc), ambiguous names resolved (Floresti, Prahova).
• 3 sites in parallel, deduplicated across sites (the same flat posted on two sites shows once, with also_listed_on).
• Filters: price (EUR; RON converted), rooms, heating, parking, private owner, keywords.
• Text extraction tuned on real Romanian ads: heating (centrala_proprie / termoficare), parking (included, likely_included, area_possible, none), rooms, surface, floor, street. When a filter needs it, the full ad is read, not just the snippet.
• Walking distance from any place (near="UMF"), geocoded with OpenStreetMap, with a Google Maps directions link.
• Drops non-rentals: sale ads, parking-only ads, hotel-style short stays.
• Parking spots search (search_parking).
• Privacy: phone numbers and e-mails are redacted from returned text. The user contacts the owner on the original site.

Quick start (5 minutes)

Step 1 — install uv (once)

kira-mcp runs through uv, which downloads it and its Python on first use. Nothing else to install.

• Windows (PowerShell): powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
• macOS / Linux: curl -LsSf https://astral.sh/uv/install.sh | sh

Close and reopen the terminal, then check: uvx --version.

Step 2 — connect it to your AI

claude mcp add kira -s user -- uvx kira-rentals-mcp

{  "mcpServers": {    "kira": {      "command": "uvx",      "args": ["kira-rentals-mcp"]    }  }}

{  "servers": {    "kira": {      "type": "stdio",      "command": "uvx",      "args": ["kira-rentals-mcp"]    }  }}

[mcp_servers.kira]command = "uvx"args = ["kira-rentals-mcp"]

uvx kira-rentals-mcp --transport streamable-http --port 8000

Step 3 — ask

Just talk to it, in English or Romanian:

• "Caută-mi o garsonieră în Sibiu sub 350 €, cu centrală proprie."
• "2-room flat in Timișoara, max 500 €, private owner, sorted by price."
• "Apartamente cu 2 camere în Cluj la max 20 de minute pe jos de UMF."
• "Is parking included in this one? "
• "Loc de parcare de închiriat în Brașov sub 60 €."

The first call takes a few extra seconds while uv downloads the package.

No MCP? Use the agent skill or the CLI

• Agent skill: copy skills/romania-rentals/ into your skills folder (e.g. ~/.claude/skills/). It teaches the agent when to search and how to read the results, via the MCP tools or the CLI.
• CLI: see below.

Tools

All tools are read-only. Every result carries the original ad URL.

CLI

uvx --from kira-rentals-mcp kira search "Cluj-Napoca" --rooms 2 --max-price 500 --near UMF --max-walk 20 --sort distancekira search Iasi --heating centrala_proprie --parking included likely_includedkira listing https://www.storia.ro/ro/oferta/...kira parking Brasov --max-price 80kira find Florestikira --json search Sibiu        # machine-readable

Configuration

Sources and limits

kira-mcp does not try to get around a site that blocks it. Results are therefore a large share of the market, not all of it — the tool says so in every response.

Be a good citizen. kira-mcp identifies itself, waits between requests, caches pages for 10 minutes, fetches only what one search needs and returns links back to the sites. It is meant for personal flat-hunting, not bulk harvesting. Check each site's terms before using it for anything else.

Distances are estimates (straight line × 1.3, walking 4.7 km/h). They use the location the poster entered; an ad with only a neighbourhood gets a district-precision distance, an ad with neither is listed without one.

Development

git clone https://github.com/Cezart3/kira-mcp && cd kira-mcpuv sync --group devuv run pytest            # offline, against synthetic fixturesKIRA_LIVE=1 uv run pytest -m live   # against the real sitesuv run ruff check .

The locality list is rebuilt with uv run python scripts/build_localities.py.

Site parsers live in src/kira_mcp/sites/. Adding a site = one class with search_rentals and fetch_detail; see sites/base.py.

Credits

• Locality data: Wikidata (CC0).
• Geocoding: Nominatim / © OpenStreetMap contributors (ODbL), at ≤1 request/second, cached.
• Extraction rules grew out of Kira, a personal flat-hunting bot.

License

MIT © 2026 Cezar Tocaciu