mcp server
identifAI MCP Server
Detect AI-generated images, videos, and audio with identifAI's deepfake detection tools.
Description as published by the maintainer. Source
- version 1.2.3
- slowing
slowing — Registry entry last updated 2026-04-16.
What this server can do
19 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
classify_audio(refId, apiKey, noCache, fileData, filename, preventC2paForces)- 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). Required: fileData.
classify_audio_url(refId, apiKey, noCache, audioUrl, 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). Required: audioUrl.
classify_image(refId, apiKey, noCache, fileData, filename, withNsfw, withHeatmap, withMorphing, withTampering, preventC2paForces)- 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). Required: fileData.
classify_image_url(refId, apiKey, noCache, imageUrl, withNsfw, withHeatmap, withMorphing, withTampering, preventC2paForces)- 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). Required: imageUrl.
classify_video(refId, apiKey, frames, noCache, fileData, filename, withNsfw, keyFrames, withAudio, withMorphing, withTampering, keyFramesMethod, preventC2paForces, ensureFacePerFrame)- 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). Required: fileData.
classify_video_url(refId, apiKey, frames, noCache, videoUrl, withNsfw, keyFrames, withAudio, withMorphing, withTampering, keyFramesMethod, preventC2paForces, ensureFacePerFrame)- 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). Required: videoUrl.
get_all_audio_classifications(apiKey, identifiers)- Retrieve classification results for multiple audio files in a single request. Accepts up to 100 identifiers. Required: identifiers.
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. Required: identifiers.
get_all_video_classifications(apiKey, identifiers)- Retrieve classification results for multiple videos in a single request. Accepts up to 100 identifiers. Required: identifiers.
get_audio_classification(apiKey, identifier)- Retrieve the classification result for a previously submitted audio file. Poll until the result is ready. Required: identifier.
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. Required: identifier.
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. Required: identifier.
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. Required: batchId.
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.
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. Required: identifier.
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". Required: identifier, classification.
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. Required: identifier, classification.
override_video_classification(apiKey, identifier, classification)- Manually override the classification verdict for a previously classified video. Sets the result to either "human" or "artificial". Required: identifier, classification.
submit_tampering_tickets(apiKey, models, refIds, tickets, filenames)- 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). Required: tickets.
Last successful function declaration observed on . Source: https://mcp.identifai.net. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://mcp.identifai.net.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| Latest published version | 1.2.3 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-04-16 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-04-16 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| mcp tools declared | 19 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | mcp.identifai.net | |
| mcp endpoint status | ok | The server listed 19 functions when asked. | as of probe | mcp.identifai.net |
Where to get it
This record as data
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