Get production task type schedule items

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/projects/{project_id}/schedule-items/task-types

Jwt authorization

Retrieve task type schedule items for given production.

Path parameters

project_id string(uuid) Required

Project unique identifier

Responses

200 application/json

All task types schedule items of given production

GET /data/projects/{project_id}/schedule-items/task-types

curl -X GET "http://api.example.com/data/projects/a24a6ea4-ce75-4665-a070-57453082c25/schedule-items/task-types" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Accept: application/json"

import requests

url = "http://api.example.com/data/projects/a24a6ea4-ce75-4665-a070-57453082c25/schedule-items/task-types"
headers = {
    "Authorization": "Bearer YOUR_API_TOKEN",
    "Accept": "application/json"
}
params = {}
payload = None

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

response.raise_for_status()

if response.content:
    print(response.json())

curl \
 --request GET 'http://api.example.com/data/projects/a24a6ea4-ce75-4665-a070-57453082c25/schedule-items/task-types' \
 --header "Authorization: $API_KEY"

Response examples (200)

[
  {}
]