Build the movie of a playlist

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

{
  "Kitsu API MCP server": {
    "url": "https://api-docs.kitsu.cloud/mcp"
  }
}

GET /data/playlists/{playlist_id}/build/mp4

Jwt authorization

Start a build job that makes an MP4 movie of the playlist. If the job queue is enabled, the job runs in the background. Else, the response comes when the movie is ready. You must be a manager of the project.

Path parameters

playlist_id string(uuid) Required

Playlist unique identifier

Query parameters

full boolean

Build the movie in full quality

Responses

200 application/json

The build job
Hide response attributes Show response attributes object
- id string(uuid)
  
  Build job unique identifier
- status string
  
  Build job status
- created_at string(date-time)
  
  Build job creation timestamp
400

The remote job queue needs the s3 or swift storage
403

You are not a manager of the project
404

The playlist does not exist
409

A build of this playlist is already in progress

GET /data/playlists/{playlist_id}/build/mp4

curl -X GET "http://api.example.com/data/playlists/a24a6ea4-ce75-4665-a070-57453082c25/build/mp4?full=true" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Accept: application/json"

import requests

url = "http://api.example.com/data/playlists/a24a6ea4-ce75-4665-a070-57453082c25/build/mp4"
headers = {
    "Authorization": "Bearer YOUR_API_TOKEN",
    "Accept": "application/json"
}
params = {
    "full": true
}
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": "pending",
  "created_at": "2022-07-12T10:30:00Z"
}