identifAI MCP Server

Detect AI-generated images, videos, and audio with identifAI's deepfake detection tools.

使うべきか

品質と安全性

A
説明の品質
100%
スキーマの完全性
99%
命名の品質
91%
ポイズニングのリスク
100%
権限の一致
100%
プロトコルへの準拠
100%

ツール定義とプロトコルへの準拠に関する自動分析に基づいています。

コンテキストコスト

~5,424トークン数(ツール定義)
~3.1 KB一般的なレスポンスサイズ
注意への影響は大きい(128k コンテキストの 4.24%)

これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。

インストール

ワンクリックインストール

これを `claude_desktop_config.json` ファイルに追加してください:

{
  "mcpServers": {
    "mcp": {
      "url": "https://mcp.identifai.net"
    }
  }
}

リモートエンドポイント

https://mcp.identifai.netstreamable-http

できること

ツール一覧

ツール(19)

🟢 読み取り専用🟡 書き込み🔴 削除⚪ 不明
🟡classify_image(apiKey, fileData, filename, refId, withMorphing, ...)

Upload an image file to detect whether it is human-made or AI-generated. Provide the image content as a base64-encoded string. Returns a classification identifier for async result retrieval. WARNING: base64 encoding adds ~33% overhead to the original file size. For images larger than 4 MB, use classify_image_url instead and provide a publicly accessible URL to avoid payload size issues. Authentication: provide your Identifai API key via the apiKey parameter or configure the X-Api-Key HTTP header in your MCP client (recommended).

入力スキーマ

{
  "type": "object",
  "properties": {
    "apiKey": {
      "description": "Identifai API key used to authenticate requests to the Identifai backend. Optional when the MCP client is configured to send the X-Api-Key HTTP header (the recommended approach for remote server deployments — set it once in your MCP client config). Required only when the header is not configured. Never use a placeholder value — only pass the real key supplied by the user. Keys can be obtained from the Identifai dashboard at https://identifai.net.",
      "type": "string"
    },
    "fileData": {
      "type": "string",
      "description": "Base64-encoded raw binary content of the image file to classify. Do not pass a file-system path; encode the file bytes directly as base64. Only suitable for files up to ~4 MB; for larger images use classify_image_url with a publicly accessible URL."
    },
    "filename": {
      "type": "string",
      "description": "Optional file name including extension (e.g. photo.jpg). Used to hint the media type."
    },
    "refId": {
      "type": "string",
      "description": "Optional caller-defined reference ID attached to the result"
    },
    "withMorphing": {
      "type": "boolean",
      "description": "Enable face morphing analysis on the image"
    },
    "withTampering": {
      "type": "boolean",
      "description": "Enable tampering/splicing detection on the image"
    },
    "withHeatmap": {
      "type": "boolean",
      "description": "Generate an AI content heatmap alongside the classification"
    },
    "noCache": {
      "type": "boolean",
      "description": "Bypass cache and force a fresh classification"
    },
    "withNsfw": {
      "type": "boolean",
      "description": "Enable NSFW (Not Safe For Work) content detection on the image"
    },
    "preventC2paForces": {
      "type": "boolean",
      "description": "If true, a C2PA signature will not force the classification to artificial"
    }
  },
  "required": [
    "fileData"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟡classify_image_url(apiKey, imageUrl, refId, withMorphing, withTampering, ...)

Submit a publicly accessible image URL to detect whether it is human-made or AI-generated. Returns a classification identifier for result retrieval. Supports the same analysis options as file-based classification. Authentication: provide your Identifai API key via the apiKey parameter or configure the X-Api-Key HTTP header in your MCP client (recommended).

入力スキーマ

{
  "type": "object",
  "properties": {
    "apiKey": {
      "description": "Identifai API key used to authenticate requests to the Identifai backend. Optional when the MCP client is configured to send the X-Api-Key HTTP header (the recommended approach for remote server deployments — set it once in your MCP client config). Required only when the header is not configured. Never use a placeholder value — only pass the real key supplied by the user. Keys can be obtained from the Identifai dashboard at https://identifai.net.",
      "type": "string"
    },
    "imageUrl": {
      "type": "string",
      "description": "Public HTTP/HTTPS URL of the image to classify"
    },
    "refId": {
      "type": "string",
      "description": "Optional caller-defined reference ID"
    },
    "withMorphing": {
      "type": "boolean",
      "description": "Enable face morphing analysis"
    },
    "withTampering": {
      "type": "boolean",
      "description": "Enable tampering/splicing detection"
    },
    "withHeatmap": {
      "type": "boolean",
      "description": "Generate an AI content heatmap"
    },
    "noCache": {
      "type": "boolean",
      "description": "Bypass cache and force fresh classification"
    },
    "withNsfw": {
      "type": "boolean",
      "description": "Enable NSFW (Not Safe For Work) content detection on the image"
    },
    "preventC2paForces": {
      "type": "boolean",
      "description": "If true, a C2PA signature will not force the classification to artificial"
    }
  },
  "required": [
    "imageUrl"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢get_image_classification(apiKey, identifier)

Retrieve the classification result for a previously submitted image. Use the identifier returned by classify_image or classify_image_url. Poll this endpoint until the result is available.

入力スキーマ

{
  "type": "object",
  "properties": {
    "apiKey": {
      "description": "Identifai API key used to authenticate requests to the Identifai backend. Optional when the MCP client is configured to send the X-Api-Key HTTP header (the recommended approach for remote server deployments — set it once in your MCP client config). Required only when the header is not configured. Never use a placeholder value — only pass the real key supplied by the user. Keys can be obtained from the Identifai dashboard at https://identifai.net.",
      "type": "string"
    },
    "identifier": {
      "type": "string",
      "description": "Classification identifier returned by the submission endpoint"
    }
  },
  "required": [
    "identifier"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢get_all_image_classifications(apiKey, identifiers)

Retrieve classification results for multiple images in a single request. Accepts up to 100 identifiers. Useful for batch result polling.

入力スキーマ

{
  "type": "object",
  "properties": {
    "apiKey": {
      "description": "Identifai API key used to authenticate requests to the Identifai backend. Optional when the MCP client is configured to send the X-Api-Key HTTP header (the recommended approach for remote server deployments — set it once in your MCP client config). Required only when the header is not configured. Never use a placeholder value — only pass the real key supplied by the user. Keys can be obtained from the Identifai dashboard at https://identifai.net.",
      "type": "string"
    },
    "identifiers": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Array of classification identifiers (max 100)"
    }
  },
  "required": [
    "identifiers"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢get_classification_heatmap(apiKey, identifier)

Retrieve a visual heatmap highlighting which regions of the image were detected as AI-generated. Requires the classification to have been submitted with withHeatmap enabled.

入力スキーマ

{
  "type": "object",
  "properties": {
    "apiKey": {
      "description": "Identifai API key used to authenticate requests to the Identifai backend. Optional when the MCP client is configured to send the X-Api-Key HTTP header (the recommended approach for remote server deployments — set it once in your MCP client config). Required only when the header is not configured. Never use a placeholder value — only pass the real key supplied by the user. Keys can be obtained from the Identifai dashboard at https://identifai.net.",
      "type": "string"
    },
    "identifier": {
      "type": "string",
      "description": "Classification identifier for which to fetch the heatmap"
    }
  },
  "required": [
    "identifier"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪override_image_classification(apiKey, identifier, classification)

Manually override the classification verdict for a previously classified image. Sets the result to either "human" or "artificial". Used for corrections and feedback.

入力スキーマ

{
  "type": "object",
  "properties": {
    "apiKey": {
      "description": "Identifai API key used to authenticate requests to the Identifai backend. Optional when the MCP client is configured to send the X-Api-Key HTTP header (the recommended approach for remote server deployments — set it once in your MCP client config). Required only when the header is not configured. Never use a placeholder value — only pass the real key supplied by the user. Keys can be obtained from the Identifai dashboard at https://identifai.net.",
      "type": "string"
    },
    "identifier": {
      "type": "string",
      "description": "Classification identifier to override"
    },
    "classification": {
      "type": "string",
      "enum": [
        "human",
        "artificial"
      ],
      "description": "The correct classification value to apply"
    }
  },
  "required": [
    "identifier",
    "classification"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟡classify_video(apiKey, fileData, filename, refId, frames, ...)

Upload a video file to detect whether it is human-made or AI-generated. Provide the video content as a base64-encoded string. The video is split into frames which are individually classified. Returns a classification identifier for async result retrieval. WARNING: base64 encoding adds ~33% overhead to the original file size. For videos larger than 10 MB, use classify_video_url instead and provide a publicly accessible URL to avoid payload size issues. Authentication: provide your Identifai API key via the apiKey parameter or configure the X-Api-Key HTTP header in your MCP client (recommended).

入力スキーマ

{
  "type": "object",
  "properties": {
    "apiKey": {
      "description": "Identifai API key used to authenticate requests to the Identifai backend. Optional when the MCP client is configured to send the X-Api-Key HTTP header (the recommended approach for remote server deployments — set it once in your MCP client config). Required only when the header is not configured. Never use a placeholder value — only pass the real key supplied by the user. Keys can be obtained from the Identifai dashboard at https://identifai.net.",
      "type": "string"
    },
    "fileData": {
      "type": "string",
      "description": "Base64-encoded raw binary content of the video file to classify. Do not pass a file-system path; encode the file bytes directly as base64. Only suitable for files up to ~10 MB; for larger videos use classify_video_url with a publicly accessible URL."
    },
    "filename": {
      "type": "string",
      "description": "Optional file name including extension (e.g. clip.mp4). Used to hint the media type."
    },
    "refId": {
      "type": "string",
      "description": "Optional caller-defined reference ID"
    },
    "frames": {
      "type": "string",
      "enum": [
        "5",
        "10",
        "30"
      ],
      "description": "Maximum number of frames to extract and classify"
    },
    "keyFrames": {
      "type": "boolean",
      "description": "Extract key frames rather than uniform frames"
    },
    "keyFramesMethod": {
      "type": "string",
      "enum": [
        "iframes",
        "flow",
        "color"
      ],
      "description": "Algorithm used for key frame extraction"
    },
    "withTampering": {
      "type": "boolean",
      "description": "Enable tampering detection on video frames"
    },
    "withMorphing": {
      "type": "boolean",
      "description": "Enable face morphing analysis on video frames"
    },
    "noCache": {
      "type": "boolean",
      "description": "Bypass cache and force fresh classification"
    },
    "withNsfw": {
      "type": "boolean",
      "description": "Enable NSFW (Not Safe For Work) content detection on video frames"
    },
    "withAudio": {
      "type": "boolean",
      "description": "[BETA] Analyze the audio track of the video in addition to the frames. Requires enablement in the pricing plan."
    },
    "preventC2paForces": {
      "type": "boolean",
      "description": "If true, a C2PA signature will not force the classification to artificial"
    },
    "ensureFacePerFrame": {
      "type": "boolean",
      "description": "Ensure at least one face is detected in each frame used for classification. Useful combined with withMorphing to detect face swaps. May increase processing time."
    }
  },
  "required": [
    "fileData"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟡classify_video_url(apiKey, videoUrl, refId, frames, keyFrames, ...)

Submit a publicly accessible video URL for AI-generated content detection. Supports the same frame extraction and analysis options as file-based classification. Authentication: provide your Identifai API key via the apiKey parameter or configure the X-Api-Key HTTP header in your MCP client (recommended).

入力スキーマ

{
  "type": "object",
  "properties": {
    "apiKey": {
      "description": "Identifai API key used to authenticate requests to the Identifai backend. Optional when the MCP client is configured to send the X-Api-Key HTTP header (the recommended approach for remote server deployments — set it once in your MCP client config). Required only when the header is not configured. Never use a placeholder value — only pass the real key supplied by the user. Keys can be obtained from the Identifai dashboard at https://identifai.net.",
      "type": "string"
    },
    "videoUrl": {
      "type": "string",
      "description": "Public HTTP/HTTPS URL of the video to classify"
    },
    "refId": {
      "type": "string",
      "description": "Optional caller-defined reference ID"
    },
    "frames": {
      "type": "string",
      "enum": [
        "5",
        "10",
        "30"
      ],
      "description": "Maximum frames to extract"
    },
    "keyFrames": {
      "type": "boolean",
      "description": "Extract key frames"
    },
    "keyFramesMethod": {
      "type": "string",
      "enum": [
        "iframes",
        "flow",
        "color"
      ],
      "description": "Key frame extraction algorithm"
    },
    "withTampering": {
      "type": "boolean",
      "description": "Enable tampering detection"
    },
    "withMorphing": {
      "type": "boolean",
      "description": "Enable face morphing analysis"
    },
    "noCache": {
      "type": "boolean",
      "description": "Bypass cache"
    },
    "withNsfw": {
      "type": "boolean",
      "description": "Enable NSFW (Not Safe For Work) content detection on video frames"
    },
    "withAudio": {
      "type": "boolean",
      "description": "[BETA] Analyze the audio track of the video. Requires enablement in the pricing plan."
    },
    "preventC2paForces": {
      "type": "boolean",
      "description": "If true, a C2PA signature will not force the classification to artificial"
    },
    "ensureFacePerFrame": {
      "type": "boolean",
      "description": "Ensure at least one face is detected per frame. Useful with withMorphing."
    }
  },
  "required": [
    "videoUrl"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢get_video_classification(apiKey, identifier)

Retrieve the classification result for a previously submitted video. Poll until the result is ready — video classification is always asynchronous.

入力スキーマ

{
  "type": "object",
  "properties": {
    "apiKey": {
      "description": "Identifai API key used to authenticate requests to the Identifai backend. Optional when the MCP client is configured to send the X-Api-Key HTTP header (the recommended approach for remote server deployments — set it once in your MCP client config). Required only when the header is not configured. Never use a placeholder value — only pass the real key supplied by the user. Keys can be obtained from the Identifai dashboard at https://identifai.net.",
      "type": "string"
    },
    "identifier": {
      "type": "string",
      "description": "Classification identifier returned by the submission endpoint"
    }
  },
  "required": [
    "identifier"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢get_all_video_classifications(apiKey, identifiers)

Retrieve classification results for multiple videos in a single request. Accepts up to 100 identifiers.

入力スキーマ

{
  "type": "object",
  "properties": {
    "apiKey": {
      "description": "Identifai API key used to authenticate requests to the Identifai backend. Optional when the MCP client is configured to send the X-Api-Key HTTP header (the recommended approach for remote server deployments — set it once in your MCP client config). Required only when the header is not configured. Never use a placeholder value — only pass the real key supplied by the user. Keys can be obtained from the Identifai dashboard at https://identifai.net.",
      "type": "string"
    },
    "identifiers": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Array of classification identifiers (max 100)"
    }
  },
  "required": [
    "identifiers"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪override_video_classification(apiKey, identifier, classification)

Manually override the classification verdict for a previously classified video. Sets the result to either "human" or "artificial".

入力スキーマ

{
  "type": "object",
  "properties": {
    "apiKey": {
      "description": "Identifai API key used to authenticate requests to the Identifai backend. Optional when the MCP client is configured to send the X-Api-Key HTTP header (the recommended approach for remote server deployments — set it once in your MCP client config). Required only when the header is not configured. Never use a placeholder value — only pass the real key supplied by the user. Keys can be obtained from the Identifai dashboard at https://identifai.net.",
      "type": "string"
    },
    "identifier": {
      "type": "string",
      "description": "Classification identifier to override"
    },
    "classification": {
      "type": "string",
      "enum": [
        "human",
        "artificial"
      ],
      "description": "The correct classification value to apply"
    }
  },
  "required": [
    "identifier",
    "classification"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟡classify_audio(apiKey, fileData, filename, refId, noCache, ...)

Upload an audio or speech file to detect whether it is human-recorded or AI-synthesized. Provide the audio content as a base64-encoded string. Returns a classification identifier for async result retrieval. WARNING: base64 encoding adds ~33% overhead to the original file size. For audio files larger than 10 MB, use classify_audio_url instead and provide a publicly accessible URL to avoid payload size issues. Authentication: provide your Identifai API key via the apiKey parameter or configure the X-Api-Key HTTP header in your MCP client (recommended).

入力スキーマ

{
  "type": "object",
  "properties": {
    "apiKey": {
      "description": "Identifai API key used to authenticate requests to the Identifai backend. Optional when the MCP client is configured to send the X-Api-Key HTTP header (the recommended approach for remote server deployments — set it once in your MCP client config). Required only when the header is not configured. Never use a placeholder value — only pass the real key supplied by the user. Keys can be obtained from the Identifai dashboard at https://identifai.net.",
      "type": "string"
    },
    "fileData": {
      "type": "string",
      "description": "Base64-encoded raw binary content of the audio file to classify. Do not pass a file-system path; encode the file bytes directly as base64. Only suitable for files up to ~10 MB; for larger audio files use classify_audio_url with a publicly accessible URL."
    },
    "filename": {
      "type": "string",
      "description": "Optional file name including extension (e.g. voice.mp3). Used to hint the media type."
    },
    "refId": {
      "type": "string",
      "description": "Optional caller-defined reference ID"
    },
    "noCache": {
      "type": "boolean",
      "description": "Bypass cache and force fresh classification"
    },
    "preventC2paForces": {
      "type": "boolean",
      "description": "If true, a C2PA signature will not force the classification to artificial"
    }
  },
  "required": [
    "fileData"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟡classify_audio_url(apiKey, audioUrl, refId, noCache, preventC2paForces)

Submit a publicly accessible audio URL for AI-generated speech detection. Returns a classification identifier for async result retrieval. Authentication: provide your Identifai API key via the apiKey parameter or configure the X-Api-Key HTTP header in your MCP client (recommended).

入力スキーマ

{
  "type": "object",
  "properties": {
    "apiKey": {
      "description": "Identifai API key used to authenticate requests to the Identifai backend. Optional when the MCP client is configured to send the X-Api-Key HTTP header (the recommended approach for remote server deployments — set it once in your MCP client config). Required only when the header is not configured. Never use a placeholder value — only pass the real key supplied by the user. Keys can be obtained from the Identifai dashboard at https://identifai.net.",
      "type": "string"
    },
    "audioUrl": {
      "type": "string",
      "description": "Public HTTP/HTTPS URL of the audio to classify"
    },
    "refId": {
      "type": "string",
      "description": "Optional caller-defined reference ID"
    },
    "noCache": {
      "type": "boolean",
      "description": "Bypass cache"
    },
    "preventC2paForces": {
      "type": "boolean",
      "description": "If true, a C2PA signature will not force the classification to artificial"
    }
  },
  "required": [
    "audioUrl"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢get_audio_classification(apiKey, identifier)

Retrieve the classification result for a previously submitted audio file. Poll until the result is ready.

入力スキーマ

{
  "type": "object",
  "properties": {
    "apiKey": {
      "description": "Identifai API key used to authenticate requests to the Identifai backend. Optional when the MCP client is configured to send the X-Api-Key HTTP header (the recommended approach for remote server deployments — set it once in your MCP client config). Required only when the header is not configured. Never use a placeholder value — only pass the real key supplied by the user. Keys can be obtained from the Identifai dashboard at https://identifai.net.",
      "type": "string"
    },
    "identifier": {
      "type": "string",
      "description": "Classification identifier returned by the submission endpoint"
    }
  },
  "required": [
    "identifier"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢get_all_audio_classifications(apiKey, identifiers)

Retrieve classification results for multiple audio files in a single request. Accepts up to 100 identifiers.

入力スキーマ

{
  "type": "object",
  "properties": {
    "apiKey": {
      "description": "Identifai API key used to authenticate requests to the Identifai backend. Optional when the MCP client is configured to send the X-Api-Key HTTP header (the recommended approach for remote server deployments — set it once in your MCP client config). Required only when the header is not configured. Never use a placeholder value — only pass the real key supplied by the user. Keys can be obtained from the Identifai dashboard at https://identifai.net.",
      "type": "string"
    },
    "identifiers": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Array of classification identifiers (max 100)"
    }
  },
  "required": [
    "identifiers"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪override_audio_classification(apiKey, identifier, classification)

Manually override the classification verdict for a previously classified audio file. Sets the result to either "human" or "artificial".

入力スキーマ

{
  "type": "object",
  "properties": {
    "apiKey": {
      "description": "Identifai API key used to authenticate requests to the Identifai backend. Optional when the MCP client is configured to send the X-Api-Key HTTP header (the recommended approach for remote server deployments — set it once in your MCP client config). Required only when the header is not configured. Never use a placeholder value — only pass the real key supplied by the user. Keys can be obtained from the Identifai dashboard at https://identifai.net.",
      "type": "string"
    },
    "identifier": {
      "type": "string",
      "description": "Classification identifier to override"
    },
    "classification": {
      "type": "string",
      "enum": [
        "human",
        "artificial"
      ],
      "description": "The correct classification value to apply"
    }
  },
  "required": [
    "identifier",
    "classification"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢get_user_credits(apiKey)

Retrieve the current available and used classification credits for the authenticated Identifai account. Use this to check quota status before submitting large batches.

入力スキーマ

{
  "type": "object",
  "properties": {
    "apiKey": {
      "description": "Identifai API key used to authenticate requests to the Identifai backend. Optional when the MCP client is configured to send the X-Api-Key HTTP header (the recommended approach for remote server deployments — set it once in your MCP client config). Required only when the header is not configured. Never use a placeholder value — only pass the real key supplied by the user. Keys can be obtained from the Identifai dashboard at https://identifai.net.",
      "type": "string"
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟡submit_tampering_tickets(apiKey, tickets, filenames, refIds, models)

Submit one or more ticket images (as base64-encoded strings) to the Identifai v2 API for batch tampering detection. Each ticket is analysed independently; results are retrieved asynchronously via get_tampering_batch_results using the returned batch_id. Supports PDF files (each page becomes a separate analysis entry). Maximum 10 tickets per batch. Authentication: provide your Identifai API key via the apiKey parameter or configure the X-Api-Key HTTP header in your MCP client (recommended).

入力スキーマ

{
  "type": "object",
  "properties": {
    "apiKey": {
      "description": "Identifai API key used to authenticate requests to the Identifai backend. Optional when the MCP client is configured to send the X-Api-Key HTTP header (the recommended approach for remote server deployments — set it once in your MCP client config). Required only when the header is not configured. Never use a placeholder value — only pass the real key supplied by the user. Keys can be obtained from the Identifai dashboard at https://identifai.net.",
      "type": "string"
    },
    "tickets": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Array of base64-encoded raw binary content of ticket image/PDF files to analyse. Do not pass file-system paths; encode the file bytes directly as base64. Maximum 10 items. For single files, wrap in an array: [\"<base64>\"]."
    },
    "filenames": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Optional array of filenames (e.g. [\"ticket1.jpg\", \"ticket2.pdf\"]). Must match the length of the tickets array if provided."
    },
    "refIds": {
      "type": "string",
      "description": "Comma-separated list of reference IDs, one per ticket (e.g. \"TICKET-001,TICKET-002\"). Must match the number of tickets if provided."
    },
    "models": {
      "type": "string",
      "description": "Comma-separated list of model names to use for detection. If omitted, all models available in the pricing plan are used."
    }
  },
  "required": [
    "tickets"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢get_tampering_batch_results(apiKey, batchId)

Retrieve the tampering detection results for a previously submitted batch of tickets. Poll until the "done" field is true. Each result contains a verdict ("authentic" or "tampered") and per-heuristic verdicts.

入力スキーマ

{
  "type": "object",
  "properties": {
    "apiKey": {
      "description": "Identifai API key used to authenticate requests to the Identifai backend. Optional when the MCP client is configured to send the X-Api-Key HTTP header (the recommended approach for remote server deployments — set it once in your MCP client config). Required only when the header is not configured. Never use a placeholder value — only pass the real key supplied by the user. Keys can be obtained from the Identifai dashboard at https://identifai.net.",
      "type": "string"
    },
    "batchId": {
      "type": "string",
      "description": "Batch identifier returned by submit_tampering_tickets"
    }
  },
  "required": [
    "batchId"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

推奨プロンプト

retrieve_data
Get details about [item] from identifAI MCP Server
想定されるツール: get_image_classification
fetch_info
Fetch [information type] using identifAI MCP Server
想定されるツール: get_image_classification

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