Skip to content
identifAI logo

identifAI MCP server

Which servers in the official MCP registry are identifAI's own, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.

read 2026-10-19

← Back to identifAI

Whose server it is
  • Registry namenet.identifai/mcpverified in the MCP registry

The registry name sits under identifai.net. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.

When we asked itchecked 2026-10-19
  • Stateanswerschecked 2026-10-19
  • Tools19
  • Server calls itselfidentifai-mcp-server
  • Server version1.0.0
  • Protocol version2025-06-18

On 2026-10-19 the server answered initialize and tools/list without a sign-in. First answer in 547 ms.

Should an agent connect itNot proven either way yet
  • Whether its tools do the product's job has not been judged yet.
  • Checked on 3 of the 7 days it takes to judge reliability.

Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.

Measured dailydaily checks: 3, the first on 2026-10-19
  • INITE MCP scoreafter a weeka score needs 7 daily checks: 3 so far
  • Answeredmeasuring3 of the 7 daily checks it takes to print a share
  • Median first answer542 ms
  • Space in an agent's context≈ 6,504 tokensthe definitions of all its tools (19), which an agent carries on every turn
  • Tool definitionsB · 83 of 100
  • Typed results0 of 19 toolsdeclared outputSchema: results come typed, read once
  • Not saying whether it only reads or can destroy: 19 of 19

Worth a look

None of the five warning signs in these definitions.

A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (30%), doing the product's job (25%), definitions (20%), context (10%) and use (15%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →

Tools it offers19 tools · read 2026-10-19
  • 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…

  • 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…

  • 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…

  • 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…

  • 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…

  • 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…

  • 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…

  • 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.

How to connect

Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:

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

Add it

Claude Code, in a terminal

claude mcp add --transport http identifai https://mcp.identifai.net

Add to CursorAdd to VS Code

claude.ai, ChatGPT and other clients: add https://mcp.identifai.net as a custom connector in the settings.

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.