MCP EV Assistant Server
A powerful server implementation for managing Electric Vehicle (EV) charging stations, trip planning, and resource management. This server provides a comprehensive set of tools and APIs for EV-related services.
What is MCP EV Assistant Server?
what is MCP EV Assistant Server? MCP EV Assistant Server is a powerful server implementation designed for managing Electric Vehicle (EV) charging stations, trip planning, and resource management. It provides a comprehensive set of tools and APIs for various EV-related services. how to use MCP EV Assistant Server? To use the MCP EV Assistant Server, clone the repository from GitHub, set up a virtual environment, install the necessary dependencies, configure the environment variables, and start the server. You can then interact with the server through its API to find charging stations and plan trips. key features of MCP EV Assistant Server? EV Charging Station Services: Locate nearby charging stations, filter by socket type, and perform distance-based searches. Trip Planning: Plan EV-friendly routes, integrate charging stops, and consider vehicle range. Resource Management: Manage EV-related PDF documents and support real-time updates through resource subscriptions. Interactive Prompts: Provide interactive prompts for charging station searches and route planning assistance. use cases of MCP EV Assistant Server? Finding nearby EV charging stations based on user location. Planning trips with necessary charging stops included. Managing and extracting information from EV-related documents. FAQ from MCP EV Assistant Server? Can I find charging stations for different socket types? Yes! The server allows filtering by various socket types such as CCS, CHAdeMO, and Type 2. How does the trip planning feature work? The trip planning feature calculates routes that include necessary charging stops based on the vehicle's range and current charge level. Is there support for managing PDF documents? Yes! The server can handle PDF documents related to EVs, including user guides and manuals.
As an MCP (Model Context Protocol) server, MCP EV Assistant Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use MCP EV Assistant Server
To use the MCP EV Assistant Server, clone the repository from GitHub, set up a virtual environment, install the necessary dependencies, configure the environment variables, and start the server. You can then interact with the server through its API to find charging stations and plan trips. key features of MCP EV Assistant Server? EV Charging Station Services: Locate nearby charging stations, filter by socket type, and perform distance-based searches. Trip Planning: Plan EV-friendly routes, integrate charging stops, and consider vehicle range. Resource Management: Manage EV-related PDF documents and support real-time updates through resource subscriptions. Interactive Prompts: Provide interactive prompts for charging station searches and route planning assistance. use cases of MCP EV Assistant Server? Finding nearby EV charging stations based on user location. Planning trips with necessary charging stops included. Managing and extracting information from EV-related documents. FAQ from MCP EV Assistant Server? Can I find charging stations for different socket types? Yes! The server allows filtering by various socket types such as CCS, CHAdeMO, and Type 2. How does the trip planning feature work? The trip planning feature calculates routes that include necessary charging stops based on the vehicle's range and current charge level. Is there support for managing PDF documents? Yes! The server can handle PDF documents related to EVs, including user guides and manuals.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like MCP EV Assistant Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like MCP EV Assistant Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.