Integrate the Mattermost API with the Python API

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

Popular Ways to Connect Mattermost with Python#

Run Python Code with Python API on New Message Sent in Channel (Instant) from Mattermost API

Mattermost + Python

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Popular Mattermost and Python Triggers#

New Message Sent in Channel (Instant) from the Mattermost API

Emit new event when a message matching the requirements is sent in a channel. See the documentation

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Popular Mattermost and Python Actions#

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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Post Message with the Mattermost API

Create a new post in a channel See docs here

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Overview of Mattermost#

Mattermost is an open-source platform for secure collaboration across the entire software development lifecycle. With the Mattermost API on Pipedream, you can automate common chat operations, integrate with DevOps tools for real-time alerts, orchestrate workflows based on chat events, and connect with other services to enhance team productivity. For instance, you could trigger actions on issue tracking platforms when discussing bugs or link project management tools to update task statuses directly from your Mattermost channels.

Connect Mattermost#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    mattermost: {
      type: "app",
      app: "mattermost",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.mattermost.$auth.domain}/api/v4/users/me`,
      headers: {
        Authorization: `Bearer ${this.mattermost.$auth.oauth_access_token}`,
      },
    })
  },
})

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#

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}}