画像審査MCPサーバー

初級

これはDocument Extraction, Miscellaneous, AI Summarization分野の自動化ワークフローで、5個のノードを含みます。主にHttpRequestTool, McpTriggerなどのノードを使用。 画像審査APIに基づくAIによる人体露出検出ツール

前提条件
  • ターゲットAPIの認証情報が必要な場合あり
ワークフロープレビュー
ノード接続関係を可視化、ズームとパンをサポート
ワークフローをエクスポート
以下のJSON設定をn8nにインポートして、このワークフローを使用できます
{
  "id": "8ApgcB6nkfmr6TOG",
  "meta": null,
  "name": "Image Moderation MCP Server",
  "tags": [],
  "nodes": [
    {
      "id": "74004824-1dd6-4852-b065-7b3163ab39df",
      "name": "セットアップ手順",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1400,
        -240
      ],
      "parameters": {
        "color": 4,
        "width": 260,
        "height": 920,
        "content": "### ⚙️ Setup Instructions\n\n1. **Import Workflow**: \nLoad this workflow into your n8n instance\n\n2. **Authentication**: \nNo authentication required\n\n3. **Activate Workflow**:\nEnable the workflow to start the MCP server\n\n4. **Get MCP URL**: \nCopy the webhook URL from the MCP trigger\n\n5. **Connect AI Agent**:\nUse the MCP URL in your AI agent configuration\n\n\n### 💡 Usage Notes\n• Parameters are auto-populated by AI using $fromAI() expressions\n• With 1 API endpoints available as tools\n• Responses maintain original API structure\n\n\n### 🛠️ Customization\n• Add data transformation nodes if needed\n• Implement custom error handling\n• Add logging or monitoring nodes\n\n• Modify parameter defaults in any HTTP request node as needed\n\n### 💬 Need Help?\nPing me on [discord](https://discord.me/cfomodz) for integration guidance and custom automations. Check the [n8n documentation](https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.toolmcp/) for more information."
      },
      "typeVersion": 1
    },
    {
      "id": "6320a874-659c-4fd9-b2e8-f2dce7fdcaa2",
      "name": "ワークフローの概要",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1120,
        -240
      ],
      "parameters": {
        "width": 420,
        "height": 700,
        "content": "## 🛠️ Image Moderation MCP Server ✅ 1 operations\n\n### About\nOur FREE API blocks images with nudity. Build from the ground up, accurate models, best in class support, great price.\n\n### 🔧 How it Works\n\nThis workflow converts the Image Moderation API into an MCP-compatible interface for AI agents.\n\n• **MCP Trigger**: Serves as your server endpoint for AI agent requests\n• **HTTP Request Nodes**: Handle API calls to https://api.moderatecontent.com/moderate/\n• **AI Expressions**: Automatically populate parameters via `$fromAI()` placeholders\n• **Native Integration**: Returns responses directly to the AI agent\n\n\n### 📋 Available Operations (1 endpoints)\n\n**Inappropriate Content (1 operations)**\nDetect Nudity in Images\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "cae27e89-a157-4605-b783-0a874a772e09",
      "name": "画像審査MCPサーバー",
      "type": "@n8n/n8n-nodes-langchain.mcpTrigger",
      "position": [
        -620,
        -240
      ],
      "webhookId": "9e254b5a-f896-48ea-9ab2-31b2b8d2a965",
      "parameters": {
        "path": "image-moderation-mcp"
      },
      "typeVersion": 1
    },
    {
      "id": "aa79fddd-7a23-4d4c-8c8c-c5212ba5efc0",
      "name": "付箋",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -660,
        -120
      ],
      "parameters": {
        "color": 2,
        "width": 320,
        "height": 220,
        "content": "## Inappropriate Content"
      },
      "typeVersion": 1
    },
    {
      "id": "52352802-454b-430f-b5dc-6f7e53f678cd",
      "name": "画像のヌードを検出",
      "type": "n8n-nodes-base.httpRequestTool",
      "position": [
        -520,
        -60
      ],
      "parameters": {
        "url": "=https://api.moderatecontent.com/moderate//",
        "options": {},
        "sendQuery": true,
        "queryParameters": {
          "parameters": [
            {
              "name": "url",
              "value": "={{ $fromAI('url', 'Url', 'string') }}"
            }
          ]
        },
        "toolDescription": "Blocks images with nudity\n\nParameters:\n- Query parameters:\n  • url (required)"
      },
      "typeVersion": 4.2
    }
  ],
  "active": false,
  "shared": [
    {
      "role": "workflow:owner",
      "project": {
        "id": "G5fce9xGuBAsWBXe",
        "icon": null,
        "name": "David Ashby <david.ashby.lds@gmail.com>",
        "type": "personal",
        "createdAt": "2025-06-04T02:55:02.013Z",
        "updatedAt": "2025-06-04T02:56:01.361Z",
        "projectRelations": [
          {
            "role": "project:personalOwner",
            "user": {
              "id": "715c1c00-cb48-4712-9a32-f1f4b6db2b30",
              "role": "global:owner",
              "email": "david.ashby.lds@gmail.com",
              "disabled": false,
              "lastName": "Ashby",
              "settings": {
                "npsSurvey": {
                  "responded": true,
                  "lastShownAt": 1749357655581
                },
                "userActivated": true,
                "userActivatedAt": 1749075994495,
                "easyAIWorkflowOnboarded": true,
                "firstSuccessfulWorkflowId": "3N3vVikZb3MckFYm"
              },
              "createdAt": "2025-06-04T02:55:01.745Z",
              "firstName": "David",
              "isPending": false,
              "updatedAt": "2025-06-08T04:40:58.399Z",
              "mfaEnabled": false,
              "personalizationAnswers": {
                "version": "v4",
                "personalization_survey_n8n_version": "1.95.3",
                "personalization_survey_submitted_at": "2025-06-04T02:56:07.075Z"
              }
            },
            "userId": "715c1c00-cb48-4712-9a32-f1f4b6db2b30",
            "createdAt": "2025-06-04T02:55:02.013Z",
            "projectId": "G5fce9xGuBAsWBXe",
            "updatedAt": "2025-06-04T02:55:02.013Z"
          }
        ]
      },
      "createdAt": "2025-07-03T17:12:57.727Z",
      "projectId": "G5fce9xGuBAsWBXe",
      "updatedAt": "2025-07-03T17:12:57.727Z",
      "workflowId": "8ApgcB6nkfmr6TOG"
    }
  ],
  "pinData": {},
  "settings": {
    "timezone": "America/New_York"
  },
  "createdAt": "2025-07-03T17:12:57.725Z",
  "updatedAt": "2025-07-03T21:10:20.000Z",
  "versionId": "37e19860-fefa-45b9-b02b-fcbe8f8b038a",
  "isArchived": false,
  "staticData": null,
  "connections": {
    "52352802-454b-430f-b5dc-6f7e53f678cd": {
      "ai_tool": [
        [
          {
            "node": "cae27e89-a157-4605-b783-0a874a772e09",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    }
  },
  "triggerCount": 0
}
よくある質問

このワークフローの使い方は?

上記のJSON設定コードをコピーし、n8nインスタンスで新しいワークフローを作成して「JSONからインポート」を選択、設定を貼り付けて認証情報を必要に応じて変更してください。

このワークフローはどんな場面に適していますか?

初級 - 文書抽出, その他, AI要約

有料ですか?

このワークフローは完全無料です。ただし、ワークフローで使用するサードパーティサービス(OpenAI APIなど)は別途料金が発生する場合があります。

ワークフロー情報
難易度
初級
ノード数5
カテゴリー3
ノードタイプ3
難易度説明

n8n初心者向け、1-5ノードのシンプルなワークフロー

作成者
David Ashby

David Ashby

@cfomodz

A hacker by nature, programmer by trade ⚒️ I'm looking to collaborate on things that save human labor 📫 How to reach me Github👇 -> Discord

外部リンク
n8n.ioで表示

このワークフローを共有

カテゴリー

カテゴリー: 34