Get models

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/softwares

Retrieve all entries for the given model. Supports filtering via query parameters and pagination. Unless the model says otherwise, you must be an administrator.

Query parameters

  • page integer

    Page number for pagination

  • limit integer

    Number of results per page

  • cursor_id string(uuid)

    Without page, id of the last row of the previous request. With limit, it walks the whole list from the newest created row to the oldest, request after request, until one returns fewer rows than limit

  • relations boolean

    Whether to include relations

    Default value is false.

  • fields string

    Comma-separated list of attributes to return for each entry (id and type are always included). Unknown names are ignored.

Responses

  • 200 application/json

    Models retrieved successfully

    One of:
  • 400

    Invalid filter format or query error

  • 403

    You are not an administrator

GET /data/softwares
curl -X GET "http://api.example.com/data/softwares?page=1&limit=50&relations=false" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Accept: application/json"
import requests

url = "http://api.example.com/data/softwares"
headers = {
    "Authorization": "Bearer YOUR_API_TOKEN",
    "Accept": "application/json"
}
params = {
    "page": 1,
    "limit": 50,
    "relations": false
}
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)
[
  {}
]
{
  "data": [
    {}
  ],
  "total": 100,
  "nb_pages": 2,
  "limit": 50,
  "offset": 0,
  "page": 1
}