net.identifai/mcp
name:net.identifai/mcp
Detect AI-generated images, videos, and audio with identifAI's deepfake detection tools.
- transport:
- remote
- credential class:
- self-provisionable
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- classify_audioshallow
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).
- classify_audio_urlshallow
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).
- classify_imageshallow
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).
- classify_image_urlshallow
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).
- classify_videoshallow
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).
- classify_video_urlshallow
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).
- get_all_audio_classificationsshallow
Retrieve classification results for multiple audio files in a single request. Accepts up to 100 identifiers.
- get_all_image_classificationsshallow
Retrieve classification results for multiple images in a single request. Accepts up to 100 identifiers. Useful for batch result polling.
- get_all_video_classificationsshallow
Retrieve classification results for multiple videos in a single request. Accepts up to 100 identifiers.
- get_audio_classificationshallow
Retrieve the classification result for a previously submitted audio file. Poll until the result is ready.
- get_classification_heatmapshallow
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.
- get_image_classificationshallow
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.
- get_tampering_batch_resultsshallow
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.
- get_user_creditsshallow
Retrieve the current available and used classification credits for the authenticated Identifai account. Use this to check quota status before submitting large batches.
- get_video_classificationshallow
Retrieve the classification result for a previously submitted video. Poll until the result is ready — video classification is always asynchronous.
- override_audio_classificationshallow
Manually override the classification verdict for a previously classified audio file. Sets the result to either "human" or "artificial".
- override_image_classificationshallow
Manually override the classification verdict for a previously classified image. Sets the result to either "human" or "artificial". Used for corrections and feedback.
- override_video_classificationshallow
Manually override the classification verdict for a previously classified video. Sets the result to either "human" or "artificial".
- submit_tampering_ticketsshallow
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).
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