# rema-connector

> rema-connector — fredrsat-rema-connector. Use this tool when you need to connect to REMA 1000 via the command line interface for personal use, solving issues of data access and automation for MCP-server management. It takes inputs such as CLI commands and outputs data from the REMA 1000 system, providing an interface for efficient interaction. Ideal for use cases requiring automated data retrieval or updates in a personal or development context.

Canonical page: https://skillsregistry.net/skills/fredrsat-rema-connector  
JSON: https://api.skillsregistry.net/v1/skills/fredrsat-rema-connector

## Description

MCP-server for REMA 1000 via rema1000-cli (personlig bruk)

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/fredrsat/rema-connector)

## 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": "fredrsat-rema-connector"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fredrsat-rema-connector` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fredrsat-rema-connector/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