ai-content-drop

get_generation

Read-onlyIdempotent

Check whether a video or image is finished and get its URL. Poll this after generate_video or generate_image; pass kind "image" for an image job. Reports status, the finished file URL, and the credits charged. SIGN-IN REQUIRED: connect this server with OAuth (the host prompts for it), or add an API key header "Authorization: Bearer acd_live_…" created at https://aicontentdrop.com/settings/integrations.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`id`	Yes	The id returned by generate_video or generate_image.
`kind`	No	Which job type the id belongs to. Defaults to video.

Output Schema

TableJSON Schema

Name	Required	Description
`id`	Yes	Poll this with get_generation.
`kind`	No
`model`	No	Model ID, underscored.
`title`	No
`status`	Yes	generating \| processing \| completed \| failed \| timeout
`image_url`	No
`video_url`	No
`credits_used`	Yes	Charged only on success — a failed generation is 0.
`error_message`	No
`thumbnail_url`	No

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedOct 8, 2026
- removedOutput schema / properties / created_at
```
Removed value: -{
-  "type": [
-    "string",
-    "null"
-  ]
-}
```

Changed4 schema fields changedSep 9, 2026

changedInput schema / properties / id / description

Previous value: -"The id returned by generate_video."New value: +"The id returned by generate_video or generate_image."

addedInput schema / properties / kind

Added value: +{
+  "description": "Which job type the id belongs to. Defaults to video.",
+  "enum": [
+    "video",
+    "image"
+  ],
+  "type": "string"
+}

addedOutput schema / properties / image_url

Added value: +{
+  "type": [
+    "string",
+    "null"
+  ]
+}

addedOutput schema / properties / kind

Added value: +{
+  "enum": [
+    "video",
+    "image"
+  ],
+  "type": "string"
+}

First observedSep 1, 2026

TDQS

Score is being calculated.

All ai-content-drop tools Inspect

Try in Browser

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.