# mcp-ms-loop

> mcp-ms-loop — memori-ai-mcp-ms-loop. Use this tool when you need to integrate Microsoft Loop with Git version control, enabling seamless collaboration and tracking of changes within Loop projects. It solves problems of manual versioning and synchronization, streamlining workflows and enhancing team productivity. The mcp-ms-loop tool accepts Loop project inputs and outputs synchronized Git repositories.

Canonical page: https://skillsregistry.net/skills/memori-ai-mcp-ms-loop  
JSON: https://api.skillsregistry.net/v1/skills/memori-ai-mcp-ms-loop

## Description

MCP for Microsoft Loop

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/memori-ai/mcp-ms-loop)

## 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": "memori-ai-mcp-ms-loop"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/memori-ai-mcp-ms-loop` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/memori-ai-mcp-ms-loop/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