# smart-me-mcp

> smart-me-mcp — ecarup-smart-me-mcp. Use this tool when you need to integrate AI assistants with energy management systems, specifically to access meter data, load profiles, and EV charging information. It solves problems related to energy monitoring, billing, and optimization by providing a remote connection to the smart-me energy platform. The tool accepts AI assistant inputs and outputs energy data, making it ideal for use cases involving energy management and automation.

Canonical page: https://skillsregistry.net/skills/ecarup-smart-me-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ecarup-smart-me-mcp

## Description

Connect an AI assistant to the smart-me energy platform: meters, load profiles, EV charging and ZEV billing. Remote MCP server.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/eCarUp/smart-me-mcp)

## 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": "ecarup-smart-me-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ecarup-smart-me-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ecarup-smart-me-mcp/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