Get production month time spents

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/projects/{project_id}/budgets/time-spents

Get aggregated time spents by month for given project.

Path parameters

  • project_id string(uuid) Required

    Project unique identifier

Responses

  • 200 application/json

    Aggregated time spents for given project and month

  • 400

    Wrong ID format

GET /data/projects/{project_id}/budgets/time-spents
curl -X GET "http://api.example.com/data/projects/a24a6ea4-ce75-4665-a070-57453082c25/budgets/time-spents" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Accept: application/json"
import requests

url = "http://api.example.com/data/projects/a24a6ea4-ce75-4665-a070-57453082c25/budgets/time-spents"
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/data/projects/a24a6ea4-ce75-4665-a070-57453082c25/budgets/time-spents' \
 --header "Authorization: $API_KEY"
Response examples (200)
{}