Update model

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"
  }
}

PUT /data/softwares/{instance_id}

Jwt authorization

Update a model instance with data provided in the request body. JSON format is expected. Model performs validation automatically when fields are modified. Unless the model says otherwise, you must be an administrator.

Path parameters

instance_id string(uuid) Required

application/json

Body Required

name string

Responses

200 application/json

Model updated successfully
Hide response attributes Show response attributes object
- id string(uuid)
- name string
- created_at string(date-time)
- updated_at string(date-time)
400

Invalid data format or validation error
403

You are not an administrator
404

The row does not exist

PUT /data/softwares/{instance_id}

curl -X PUT "http://api.example.com/data/softwares/a24a6ea4-ce75-4665-a070-57453082c25" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Accept: application/json" \
  -H "Content-Type: application/json" \
  -d '{
  "name": "Updated Model Name"
}'

import requests

url = "http://api.example.com/data/softwares/a24a6ea4-ce75-4665-a070-57453082c25"
headers = {
    "Authorization": "Bearer YOUR_API_TOKEN",
    "Accept": "application/json",
    "Content-Type": "application/json"
}
params = {}
payload = {
    "name": "Updated Model Name"
}

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

response.raise_for_status()

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

Request examples

{
  "name": "Updated Model Name"
}

Response examples (200)

{
  "id": "a24a6ea4-ce75-4665-a070-57453082c250",
  "name": "Updated Model Name",
  "created_at": "2024-01-15T10:30:00Z",
  "updated_at": "2024-01-15T11:00:00Z"
}