identifAI MCP Server

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 class

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 t

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.

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

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.

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

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

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 (recommen

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

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

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

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

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).

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

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

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

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

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 separat

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.