Get linked entities

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/entities/{entity_id}/entities-linked/with-tasks

Jwt authorization

Retrieve all entities that are linked to a specific entity along with their associated tasks. This includes related entities, dependencies, and hierarchical relationships.

Path parameters

entity_id Required

Unique identifier of the entity

Responses

200 application/json

List of linked entities successfully retrieved
Hide response attributes Show response attributes object
- id string(uuid)
  
  Entity unique identifier
- name string
  
  Entity name
- entity_type_id string(uuid)
  
  Entity type identifier
- project_id string(uuid)
  
  Project identifier
- parent_id string(uuid)
  
  Parent entity identifier
- tasks array[object]
  
  Hide tasks attributes Show tasks attributes object
  
  id string(uuid)
  
  Task unique identifier
  
  name string
  
  Task name
  
  task_type_id string(uuid)
  
  Task type identifier

GET /data/entities/{entity_id}/entities-linked/with-tasks

curl -X GET "http://api.example.com/data/entities/a24a6ea4-ce75-4665-a070-57453082c25/entities-linked/with-tasks" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Accept: application/json"

import requests

url = "http://api.example.com/data/entities/a24a6ea4-ce75-4665-a070-57453082c25/entities-linked/with-tasks"
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())

Response examples (200)

[
  {
    "id": "a24a6ea4-ce75-4665-a070-57453082c250",
    "name": "Character Model",
    "entity_type_id": "b35b7fb5-df86-5776-b181-68564193d360",
    "project_id": "c46c80c6-e097-6887-c292-79675204e470",
    "parent_id": "d57d91d7-f108-7998-d403-80786315f580",
    "tasks": [
      {
        "id": "e68e02e8-0219-8009-e514-918974260690",
        "name": "Modeling Task",
        "task_type_id": "f79f13f9-1320-9010-f625-029985371800"
      }
    ]
  }
]