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MCP verified MIT Self-run

Flag Mcp

mcp-the-nine-nation-flag-mcp · by the-nine-nation

When your AI assistant hits a crossroads, instead of guessing and potentially wasting your time, it pauses — presenting you with meaningful choices, like dialogue options in a game.

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Install

$ agentstack add mcp-the-nine-nation-flag-mcp

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
5mo ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

🚩 Flag MCP

English | 简体中文

"Every flag you plant changes the story."

Plant your flag. Shape the route. Ship with confidence.

Human-in-the-loop interaction for AI coding workflows — because in every great visual novel, you choose the route.

Designed for Cursor · Claude Desktop · Cline · Windsurf


✨ What is "Flag"?

In visual novels and Galgames, a "flag" (フラグ) is the moment a choice triggers a new story branch. One decision changes everything.

Flag MCP brings that same power to AI-assisted coding. When your AI assistant hits a crossroads, it doesn't guess — it raises a flag and waits for you to choose the route.

🎮 You're the protagonist. The AI waits at every branching point.

💎 Every flag shapes the route. No more speculative rewrites.

🚀 Rich interaction. Text, screenshots, annotations — your full arsenal.

This transforms AI coding from "hope it works" into a narrative where you hold the controller.


Scope of Application:

  • Coding plans billed on a per-request basis.
  • Developers who wish to control AI behavior.

🔥 Before & After

| ❌ Without Flag MCP | ✅ With Flag MCP | |:--------------------:|:-----------------:| | AI guesses → wrong code → painful rework | AI raises a flag → you choose → correct code | | Multiple rounds of "wait, what did you mean?" | One structured dialog, crystal clear | | Anxious: "What is the AI about to do?!" | Confident: every action confirmed by you | | Helpless passenger | You are the route-setter |


🎯 Core Features

  • 🖥️ Dark Themed UI — A sleek native desktop dialog that fits your workflow
  • Route Choices — Structured predefined options (checkbox-style)
  • 💬 Free Text — When the predefined routes aren't enough, write your own script
  • 📷 Rich Media Arsenal
  • Paste images from clipboard
  • Select local files
  • Screenshot + Built-in Annotator (rectangle, circle, arrow, pen, text, crop)
  • 🖼️ Prompt Images — AI can show you images (local paths, file://, http(s)://)
  • 🔒 Security First — Remote images validated, size-limited, async loaded
  • 🎨 macOS Optimized — Proper icon handling and visual polish

📦 Installation

Prerequisites

  • Python >= 3.11
  • uv (recommended) or pip

Quick Install

git clone https://github.com/pauoliva/interactive-feedback-mcp.git
cd interactive-feedback-mcp
uv sync

⚙️ Configuration

Add to your MCP client configuration:

Cursor (mcp.json) / Claude Desktop (claude_desktop_config.json):

{
  "mcpServers": {
    "interactive-feedback": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/interactive-feedback-mcp",
        "run",
        "server.py"
      ],
      "timeout": 900000,
      "autoApprove": ["interactive_feedback"]
    }
  }
}

> ⚠️ Note: Timeout is in milliseconds for Cursor (900000 = 15 min). Some clients use seconds — adjust accordingly.


🚩 The interactive_feedback Tool

Arguments

| Parameter | Type | Description | |-----------|------|-------------| | message | string | The question/prompt to display | | predefined_options | array | Optional. Route choices for quick decisions | | message_images | array | Optional. Images to show (local/remote URLs) |

Returns

  • Text feedback from user
  • Optional image attachments (as MCP image content blocks)

🧙 Pro Tips

Recommended Agent Rules

Add this to your AI assistant's custom instructions:

If requirements are unclear, call interactive_feedback before implementing.
Present predefined options whenever possible — give the user clear route choices.
Before finishing a task, call interactive_feedback once more for final confirmation.

Environment Variables

| Variable | Default | Description | |----------|---------|-------------| | INTERACTIVE_FEEDBACK_TIMEOUT_SEC | 60000 | Max UI process lifetime | | INTERACTIVE_FEEDBACK_ICON | — | Custom app icon path | | INTERACTIVE_FEEDBACK_REMOTE_IMAGE_TIMEOUT_SEC | 5 | Remote image fetch timeout | | INTERACTIVE_FEEDBACK_REMOTE_IMAGE_MAX_BYTES | 10485760 | Max remote image size (10MB) |


🛡️ Security & Reliability

  • ✅ Remote images validated by content-type (image/*)
  • ✅ Large payloads rejected via size cap
  • ✅ Async fetch keeps UI responsive
  • ✅ Local files read only when explicitly referenced

📄 License

MIT License — fork it, flag it, ship it.


🚩 Plant your flag. Write your own route.

Made with 💜 for developers who refuse to be NPCs in their own codebase.

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.