Scalekit

SCALEKIT_ENVIRONMENT_URL=your-environment-url
SCALEKIT_CLIENT_ID=your-client-id
SCALEKIT_CLIENT_SECRET=your-client-secret

import os

from dotenv import load_dotenv
from scalekit import ScalekitClient

load_dotenv()

client = ScalekitClient(
    env_url=os.environ["SCALEKIT_ENVIRONMENT_URL"],
    client_id=os.environ["SCALEKIT_CLIENT_ID"],
    client_secret=os.environ["SCALEKIT_CLIENT_SECRET"],
)
actions = client.actions
connection_name = "tavilymcp"
identifier = "user_123"

account = actions.get_or_create_connected_account(
    connection_name=connection_name,
    identifier=identifier,
).connected_account

if account.status != "ACTIVE":
    authorization = actions.get_authorization_link(
        connection_name=connection_name,
        identifier=identifier,
    )
    print("Open this link to connect Tavily:", authorization.link)
    input("Press Enter when authorization is complete: ")

    account = actions.get_or_create_connected_account(
        connection_name=connection_name,
        identifier=identifier,
    ).connected_account
    if account.status != "ACTIVE":
        raise SystemExit("Tavily authorization is incomplete. Finish it and rerun.")

result = actions.execute_tool(
    connection_name=connection_name,
    identifier=identifier,
    tool_name="tavilymcp_tavily_search",
    tool_input={"query": "What is retrieval-augmented generation?"},
)
print(result.data)