FlatHunt is answering right now. Last checked 14 min ago. It exposes 11 tools.
Search furnished Berlin housing, compare listings, and manage favorites and saved-search alerts.
The linked repository no longer exists on GitHub — it was deleted or made private.
Uptime history
11 days of history
11 days agonow
100.0%
Uptime 24h
91 of 91 checks
11
Tools
read from the server
278 ms
Response time
average over 24h
open, no key
Access
streamable-http
This one has been quiet for a while
Quiet is not dead — but it is worth knowing when it wakes up, or when someone else takes it over. We watch the repository and tell you either way.
Connect this server
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 14 min ago.
run in your terminal
claude mcp add mcp --transport http https://mcp.flat-hunt.com/mcp~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"mcp": {
"url": "https://mcp.flat-hunt.com/mcp"
}
}
}~/.codex/config.toml
[mcp_servers.mcp]
url = "https://mcp.flat-hunt.com/mcp".cursor/mcp.json
{
"mcpServers": {
"mcp": {
"url": "https://mcp.flat-hunt.com/mcp"
}
}
}.vscode/mcp.json
{
"mcpServers": {
"mcp": {
"url": "https://mcp.flat-hunt.com/mcp"
}
}
}Available tools 11
Read directly from the server with tools/list, grouped by what they act on.
If a tool disappears, we record the date.
alert
create_alert
Create a saved search alert so FlatHunt notifies the user about new matching Berlin listings. Accepts housing, price, size, rooms, availability, canonical area ids, amenity and rental-policy filters. Email notifications are enabled by default; Telegram too when the user has linked Telegram on FlatHunt. Requires the alerts.write scope.
delete_alert
Delete one or more of the current user's saved search alerts by numeric id. This is destructive and cannot be undone. Accepts 1–10 ids per call and requires alerts.write.
saved
list_saved_listings
List the current user's saved (favorited) FlatHunt listings. Requires the favorites.read scope.
remove_saved_listing
Remove a listing from the current user's saved (favorited) listings by its numeric id. Requires the favorites.write scope.
alerts
list_alerts
List the current user's saved search alerts on FlatHunt, including each alert's numeric id, name and creation time when available. Requires alerts.read.
areas
list_areas
List supported Berlin districts (Bezirke) and neighbourhoods (Ortsteile) with canonical FlatHunt ids. Returns id, name, slug, type and parent area information, with optional name and type filtering. Mitte exists both as a whole Bezirk (berlin:bezirk:mitte) and as a smaller Ortsteil (berlin:ortsteil:mitte). Charlottenburg is an Ortsteil; the parent Bezirk is Charlottenburg-Wilmersdorf.
compare
compare_listings
Return normalized detail fields for 2–10 FlatHunt listings by numeric id in one read-only response. Includes prices, location, amenities, rental-policy flags, capacity, description, utilities, nearby distances, provider and tracking URLs for side-by-side comparison.
listing
get_listing
Get detailed information about a single FlatHunt listing in Berlin by its numeric id. Returns its description, amenities, rental-policy flags, capacity, stay terms, utilities, nearby distances, media, provider and tracking URLs. Availability and provider terms may change.
listings
search_listings
Search current furnished apartments, studios, private rooms and shared rooms in Berlin through FlatHunt. Supports price, size, rooms, bedrooms, canonical area ids or nearby coordinates, availability dates, capacity, deposit, providers, amenity tags, rental-policy flags, sorting and pagination up to 20 results. Returns normalized listing summaries and pagination metadata. Availability, prices and provider terms may change.
render
render_listings_widget
Return UI-ready cards and an interactive MCP Apps gallery for 1–10 FlatHunt listing ids. The tool refreshes current listing data and displays images, provider, price, availability and listing actions. Optional alertCriteria adds a saved-search control for the represented filters.
save
save_listing
Save (favorite) a FlatHunt listing for the current user by its numeric id. Requires the favorites.write scope. Ownership and duplicate handling are enforced by FlatHunt.
Endpoints
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://mcp.flat-hunt.com/mcp | streamable-http | answering | 220 ms | 14 min ago |
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FlatHunt — questions
Answers built from our own checks of this server.
What can FlatHunt do?
It exposes 11 tools, read directly from the server on our last check. Among them: compare_listings, create_alert, delete_alert, get_listing, list_alerts, list_areas and 5 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README.
How MCP servers expose tools in the first place →
What is FlatHunt mostly used for?
Its tools cluster around saved and alert. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is FlatHunt working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 278 ms. The bar chart above shows every period we have measured.
Is FlatHunt still maintained?
The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.
How do I connect FlatHunt?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does FlatHunt need an API key?
No. FlatHunt completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 11 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is FlatHunt?
It answers our handshake in 278 ms on average, which is faster than 51% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.