Get status of the API services

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 /status

Jwt authorization

Responses

200 application/json

Status of the API services
Hide response attributes Show response attributes object
- name string
- version string
- database-up boolean
- key-value-store-up boolean
- event-stream-up boolean
- job-queue-up boolean
- indexer-up boolean

GET /status

curl -X GET "http://api.example.com/status" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Accept: application/json"

import requests

url = "http://api.example.com/status"
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/status' \
 --header "Authorization: $API_KEY"

Response examples (200)

{
  "name": "Zou",
  "version": "0.20.0",
  "database-up": true,
  "key-value-store-up": true,
  "event-stream-up": true,
  "job-queue-up": true,
  "indexer-up": true
}