Get the previews that are processing

Add MCP server to your AI tool

Allow AI tools and LLMs to interact with the API documentation portal through MCP.

MCP server URL

https://api-docs.kitsu.cloud/mcp

Standard setup for AI tools providing an mcp.json file

mcp.json 
{
  "Kitsu API MCP server": {
    "url": "https://api-docs.kitsu.cloud/mcp"
  }
}
Close
GET /data/playlists/preview-files/running
Jwt authorization

Get the preview files of the open projects that have the processing or broken status. To get the next page, give the identifier of the last preview in cursor_preview_file_id. You must be an administrator.

Query parameters

  • cursor_preview_file_id string(uuid)

    Get the previews that come after this preview

  • limit integer

    Maximum number of previews

Responses

  • 200 application/json

    The list of preview files

    Hide response attributes Show response attributes object
    • id string(uuid)

      Preview file unique identifier

    • status string

      Preview file status
  • 400

    The cursor is not a valid identifier

  • 403

    You are not an administrator

GET /data/playlists/preview-files/running 
curl -X GET "http://api.example.com/data/playlists/preview-files/running?cursor_preview_file_id=a24a6ea4-ce75-4665-a070-57453082c25&limit=100" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Accept: application/json"
import requests

url = "http://api.example.com/data/playlists/preview-files/running"
headers = {
    "Authorization": "Bearer YOUR_API_TOKEN",
    "Accept": "application/json"
}
params = {
    "cursor_preview_file_id": "a24a6ea4-ce75-4665-a070-57453082c25",
    "limit": 100
}
payload = None

response = requests.get(
    url,
    headers=headers,
    params=params,
    json=payload
)

response.raise_for_status()

if response.content:
    print(response.json())
Response examples (200) 
[
  {
    "id": "a24a6ea4-ce75-4665-a070-57453082c250",
    "status": "processing"
  }
]