# identifAI MCP Server

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

- name: net.identifai/mcp
- version: 1.2.3
- connection class: R1 (autonomous)
- trust: 69/100 flags: no-repository
- quality: 79/100 (good)
- owner: not claimed
- descriptor: https://api.protogrid.dev/v1/servers/net.identifai%2Fmcp
- tools: https://api.protogrid.dev/v1/servers/net.identifai%2Fmcp/tools

**An agent can connect on its own if it already holds `X_API_KEY`, `X_API_KEY`.** Remote endpoint behind a static API key or header. The registry never sees the value; the agent fills the placeholder.

## Connection (mcpServers)

```json
{
  "mcpServers": {
    "identifai": {
      "type": "http",
      "url": "https://mcp.identifai.net",
      "headers": {
        "X-Api-Key": "${X_API_KEY}",
        "Authorization": "${X_API_KEY}"
      }
    }
  }
}
```

Placeholders to fill: `${X_API_KEY}`, `${X_API_KEY}`.

## Trust

- hygiene: 80
- liveness: 100
- freshness: 45
- provenance: 45
- drivers: +dns-namespace +reachable +uptime-100% -stale-187d -no-repository
- Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed.

## Quality 79/100 (good)

### protocol: 75 (weight 25)

- warn `protocol.modern`: newest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
- n/a `protocol.stateless`: only applies to 2026-07-28 servers
- pass `protocol.transport`: streamable HTTP
- n/a `protocol.list_ttl`: only applies to 2026-07-28 servers

### authorization: n/a (weight 15)

- n/a `auth.prm`, `auth.as_metadata`, `auth.cimd`: no remote uses OAuth
- n/a `auth.secret_in_url`: no templated URL

### tool hygiene: 71 (weight 30)

- pass `tools.descriptions`: every tool has a description
- pass `tools.description_length`: descriptions are concise
- pass `tools.schemas`: every tool has an object input schema
- fail `tools.annotations`: no tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
- fail `tools.directory_hints`: no tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: get_all_video_classifications (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); classify_image_url (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_classification_heatmap (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …
- pass `tools.token_cost`: about 6,304 tokens to load every tool
- pass `tools.api_dump`: tools are not a one-to-one API dump

### stability: 100 (weight 15)

- pass `stability.changes`: no tool changes in 30 days
- pass `stability.rug_pull`: no tool changed its meaning under the same name

### dependencies: n/a (weight 15)

- n/a `deps.known_vulns`, `deps.mcp_sdk_version`, `deps.resolvable`: no npm or PyPI package

- tools: 19, about 6,304 tokens to load them all
- tool set hash: edb98194abc40e43ac404400e6b504f4
- badge: [![protogrid quality](https://protogrid.dev/badge/net.identifai/mcp.svg)](https://protogrid.dev/servers/net.identifai/mcp)
- Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed.

### Tool changes

_No tool definition changes recorded._

## Remotes

- https://mcp.identifai.net (streamable-http, auth api_key ${X_API_KEY}, reachable true, uptime30d 1)

## Packages

_none_

## Tools (19)

- `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).
- `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).
- `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_all_audio_classifications`: Retrieve classification results for multiple audio files in a single request. Accepts up to 100 identifiers.
- `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_all_video_classifications`: Retrieve classification results for multiple videos in a single request. Accepts up to 100 identifiers.
- `get_audio_classification`: Retrieve the classification result for a previously submitted audio file. Poll until the result is ready.
- `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.
- `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_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.
- `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.
- `get_video_classification`: Retrieve the classification result for a previously submitted video. Poll until the result is ready — video classification is always asynchronous.
- `override_audio_classification`: Manually override the classification verdict for a previously classified audio file. Sets the result to either "human" or "artificial".
- `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.
- `override_video_classification`: Manually override the classification verdict for a previously classified video. Sets the result to either "human" or "artificial".
- `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).