Get status of the API services as text

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 /status.txt

Get status of the database, key value store, event stream, job queue, the indexer as a text.

Responses

  • 200 text/plain

    API name, version and status as txt

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

url = "http://api.example.com/status.txt"
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.txt' \
 --header "Authorization: $API_KEY"
Response examples (200)
name: Zou
version: 0.20.0
database-up: up
event-stream-up: up
key-value-store-up: up
job-queue-up: up
indexer-up: up