McTime

McTime's time recording helps small and large teams to record and evaluate project hours or absences. Fully automatic time recording included!

Integrate the McTime API with the Python API

Setup the McTime API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate McTime and Python remarkably fast. Free for developers.

Run Python Code with Python API on New Time Entry Started from McTime API
McTime + Python
 
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New Time Entry Started from the McTime API

Emit new event each time a new time entry is started

 
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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
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Start Clocking with the McTime API

Start a new clocking time entry. See the documentation

 
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Stop Clocking with the McTime API

Stop an existing clocking time entry. See the documentation

 
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Overview of McTime

The McTime API provides functionality for tracking and managing time-related data. With McTime integrated into Pipedream, you can automate processes involving employee scheduling, time tracking, and payroll. Leverage Pipedream's ability to connect with hundreds of apps to link time data with project management tools, accounting software, and communication platforms, streamlining workflow efficiencies and reducing manual timekeeping errors.

Connect McTime

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    mctime: {
      type: "app",
      app: "mctime",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://mctime.com/api/v2/auth/users`,
      headers: {
        "API_KEY": `${this.mctime.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
    })
  },
})

Overview of Python

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python

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def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}