# Flag MCP

> Use this tool when you need to enable human oversight and input in AI-driven coding workflows, solving problems of ambiguous or uncertain decision points. It provides a native desktop dialog interface for route choices, text input, and image annotation, allowing humans to guide AI assistants. Ideal for use cases where AI requires human judgment or validation to ensure accurate outcomes.

Canonical page: https://skillsregistry.net/skills/the-nine-nation-flag-mcp  
JSON: https://api.skillsregistry.net/v1/skills/the-nine-nation-flag-mcp

## Description

Enables human-in-the-loop interaction for AI coding workflows through native desktop dialogs that present route choices, text input, and image annotation capabilities when AI assistants encounter decision points.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-05-05

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rbkk6gi4nm)
- **Repository:** <https://github.com/the-nine-nation/Flag-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": "the-nine-nation-flag-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/the-nine-nation-flag-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/the-nine-nation-flag-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
