# SarjAI EV Charging Assistant

> SarjAI EV Charging Assistant — mehmetkagitli-sarjai-ev-charging-assistant. Use this tool when you need to manage and optimize Electric Vehicle (EV) charging stations, track live sessions, and detect battery states automatically. It solves problems related to inefficient charging station management, remote access, and technical support, providing inputs such as live session data and battery state, and outputs like remote cable unlock and RAG-based support. Ideal for use in EV charging infrastructure, fleet management, and smart city applications.

Canonical page: https://skillsregistry.net/skills/mehmetkagitli-sarjai-ev-charging-assistant  
JSON: https://api.skillsregistry.net/v1/skills/mehmetkagitli-sarjai-ev-charging-assistant

## Description

MCP server that enables AI-powered EV charging station management, including live session tracking, automatic battery state detection, remote cable unlock, and RAG-based technical support from OCPP documentation.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jqtpde5k76)
- **Repository:** <https://github.com/mehmetkagitli/SarjAI-EV-Charging-Assistant>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mehmetkagitli-sarjai-ev-charging-assistant"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mehmetkagitli-sarjai-ev-charging-assistant` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mehmetkagitli-sarjai-ev-charging-assistant/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt