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Explorer/MCP/root/identifai-mcp

identifai-mcp

REMOTE
root/identifai-mcp

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

○ Remote (HTTP) Server
This server runs on the internet and communicates over HTTP. It does not have direct access to your local filesystem or environment variables.
Tools
19
Indexed
2d ago
Transport
Remote / HTTP
Liveness
● Live
Uptime
100%based on 6 checks
Avg response
228ms
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Security Scan
Security scan pending — this server has not yet been analyzed.
Risk Surface
Risk surface analysis pending — tool annotation scanning is coming soon.
Publisher Verification
Not yet verified by the Official MCP Registry.
Endpoint
https://identifai-mcp--root.run.tools
Tools (19)
classify_image
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_url
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).
get_image_classification
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_all_image_classifications
Retrieve classification results for multiple images in a single request. Accepts up to 100 identifiers. Useful for batch result polling.
get_classification_heatmap
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.
override_image_classification
Manually override the classification verdict for a previously classified image. Sets the result to either "human" or "artificial". Used for corrections and feedback.
classify_video
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_url
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_video_classification
Retrieve the classification result for a previously submitted video. Poll until the result is ready — video classification is always asynchronous.
get_all_video_classifications
Retrieve classification results for multiple videos in a single request. Accepts up to 100 identifiers.
override_video_classification
Manually override the classification verdict for a previously classified video. Sets the result to either "human" or "artificial".
classify_audio
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_url
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).
get_audio_classification
Retrieve the classification result for a previously submitted audio file. Poll until the result is ready.
get_all_audio_classifications
Retrieve classification results for multiple audio files in a single request. Accepts up to 100 identifiers.
override_audio_classification
Manually override the classification verdict for a previously classified audio file. Sets the result to either "human" or "artificial".
get_user_credits
Retrieve the current available and used classification credits for the authenticated Identifai account. Use this to check quota status before submitting large batches.
submit_tampering_tickets
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).
get_tampering_batch_results
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.
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