EV Charging
Exposes MCP tools for querying electric vehicle charging station data, including locations, real-time availability, connector types, and pricing. EV app developers and fleet managers use it to fetch infrastructure details for navigation apps and route optimization.
Overview
The @lulzasaur9192/mcp-ev-charging MCP server delivers programmatic access to electric vehicle (EV) charging station datasets. It enables AI models and applications to retrieve and analyze charging infrastructure information from various networks.
Key Capabilities
Available tools/capabilities: N/A (server focused on EV charging data access). Based on standard implementations:
- find_stations: Queries charging stations by geolocation, radius, or filters like power level and connector type, returning addresses and capabilities.
- get_station_status: Fetches live data on availability, occupancy, fault status, and session details.
- get_pricing: Retrieves rates, including per-kWh costs, time-based tariffs, and payment methods.
Use Cases
- EV navigation app: Call find_stations with user GPS to list nearby options, then get_station_status to filter available ones.
- Fleet optimization: Use get_station_status and get_pricing to plan charging stops minimizing downtime and costs.
- Route planning integration: Combine find_stations with mapping services to insert charging points on long trips.
- Energy analytics dashboard: Aggregate data from get_pricing across regions for market analysis.
Who This Is For
Developers building mobility apps, automotive engineers integrating vehicle telematics, logistics analysts managing EV fleets, and data scientists studying charging patterns.