Yonga.io EV Charging Turkey gives AI agents structured access to 17,000+ EV charging stations, 185+ operators and all 81 Turkish provinces, with maps. 147 characters. Paste it as one line. Directories that show an intro line above the short description (as MCPize does) take this one: MCP server providing 6 tools for Turkey's EV charging stations, operators and administrative geography.
How to pay
Subscribe
$9/month
Predictable monthly cost with included usage. Best for steady, high-volume traffic.
- Unlimited tools within plan limits
- One API key, billed once a month
- Cancel any time
MCP server providing 6 tools for Turkey's EV charging stations, operators and administrative geography.
Yonga EV Charging Turkey gives AI agents structured, enriched access to Turkey's electric-vehicle charging landscape. Data is sourced from EPDK (the official energy regulator), Google Maps and open platforms, then geocoded, normalised and kept current.
Query 17,000+ charging stations and 185+ network operators by city, district, connector type (CCS2, Type2, CHAdeMO), socket type (AC/DC), power range, service type or free-text keyword. Find stations near any coordinate, inspect individual sockets, compare operator pricing (AC, DC fast, DC ultra-fast) and pull per-city charging totals. Questions like "which operators serve this district?" or "how many stations?" are answered in one aggregate call, with no paging.
The same server also exposes Turkey's administrative geography through a single geo
tool: all 81 provinces (il), 992 districts (ilçe) and ~49,000 neighbourhoods (mahalle).
Each comes with charging totals, a top-operators ranking and GeoJSON boundaries,
simplified for maps or at full resolution. Agents can resolve locations and render maps
without a second data source.
All responses use a consistent JSON envelope ({ data, meta }), the same shape as the
REST API. Connect from Claude.ai or ChatGPT by signing in, with no token to copy, or use
a bearer token from Claude Code, Cursor and scripts.
Example prompts
- "List DC CCS2 charging stations in Istanbul." →
list_charging_stations - "Which operators have DC chargers in Kadıköy?" →
list_charging_stations(district=kadikoy,socket_type=DC,group_by=network) - "Find charging stations within 5 km of 41.0082, 28.9784." →
find_nearby_stations - "Show pricing and details for the ZES network." →
get_network_info - "List all ZES stations in Ankara." →
list_charging_stations(network=zes,city=ankara) - "How many charging stations does Ankara have, and from which operators?" →
geo(path=ankara) - "List the districts of Ankara." →
geo(path=ankara,include=children) - "Draw Izmir's boundary on a map." →
geo(path=izmir,geometry=simplified)
Türkçe also works (the model calls the same English tool names):
- "İstanbul'da DC şarj istasyonlarını listele."
- "Kadıköy'de hangi şarj ağları var?"
- "Ankara için şarj istatistiklerini getir."