Search is only the first half of a property question. This one carries the second — what a district costs against its neighbours, what the yield looks like at that price, what the payment plan converts to in your currency — so an investment case can be built without exporting anything. Contact details are deliberately not in the tool output; those stay behind Evlek's own enquiry flow.
A hosted property server for North Cyprus (KKTC), covering six cities and more than a hundred districts. Listings, price aggregates and district profiles all read from evlek.app at the moment you ask, and the analysis tools — yield, student rent, currency and payment plans — run on those same live figures.
- Live listings searched by city, type, property type, bedrooms and price range, or by free text
- One listing pulled in full by UUID or by its public listing number, with title, price, location, size and amenities
- The Evlek Price Index: average, median, minimum and maximum prices per city and top districts
- A market overview — active listing counts and average and median prices across the region
- Two to four cities, or two to four listings, set side by side on price, area, bedrooms and price per square metre
- A single district profiled: sale and rent listing counts with its own price aggregates
- Gross and net annual rental yield from a purchase price and city, and student-rental estimates for a named university
- Neighbourhood suggestions for a buyer type — retiree, investor, student, family, digital nomad, vacation
- A price converted across GBP, EUR, USD and TRY at live rates, with off-plan payment structure surfaced
- The canonical list of city slugs and the districts currently holding active listings
A client that speaks Streamable HTTP, pointed at https://evlek.app/api/mcp. No key and no local install. ChatGPT connects as a custom connector — the server also exposes the search and fetch pair those clients expect.
One command — npx github:Evlek/evlek-mcp