This article provides a complete, practical walkthrough of the Webhook Cron Automate Scheduled n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:  
   Automating Daily Standups in Mattermost with n8n: A Deep Dive into the Standup Bot Workflow
   
   Meta Description:  
   Discover how to streamline team standups in Mattermost using a powerful n8n workflow. Learn how it schedules reminders, collects responses, and publishes reports — all automated without writing a single line of backend code.
   
   Keywords:  
   n8n, Mattermost, automation, project management, standup bot, daily standup, workflow automation, team productivity, API integration, open-source automation, cron jobs, webhook, dialogue interface
   
   Third-Party APIs Used:
   
   - Mattermost REST API (v4): For interacting programmatically with channels, posts, users, and dialogs in Mattermost.
   - n8n Webhook API: For receiving actions from slash commands and interactive button submissions via Mattermost.
   
   —
   
   Article:
   
   Automating Daily Standups in Mattermost with n8n
   
   In fast-moving teams, staying in sync is critical—and daily standups are the cornerstone of that alignment. But managing standups manually can become repetitive and error-prone. Enter n8n, a fair-code automation platform that enables teams to automate anything without server-side code. This article explores a complete n8n workflow that automates the end-to-end process of gathering, prompting, collecting, and publishing daily standup reports within Mattermost.
   
   Overview of the Standup Bot
   
   This n8n workflow is aptly named “Standup Bot – Worker,” and it integrates deeply with Mattermost for both interaction and scheduling. Let’s break down what it does:
   
   - Provides a custom slash command to configure team standups.
   - Automatically prompts users for their updates at scheduled times during the workweek.
   - Collects standup answers via interactive dialogs.
   - Publishes formatted standup reports in the appropriate Mattermost channels.
   - Offers customization per team or channel, including time, days, users, and questions.
   
   The workflow is modular, leveraging cron jobs, Mattermost APIs, and user-driven interaction flows. Here’s how it works step by step.
   
   1. Setting Up Standup Configuration
   
   Team configurations are initiated using a custom slash command: `/standup-bot config`. When this is received by the "Slash Cmd from MM" webhook node, the workflow checks whether the command is meant to configure the bot.
   
   A separate internal workflow is triggered to read current configurations. Then, a function node constructs a configuration dialog with helpful defaults. This UI allows users to set:
   
   - Title of the standup
   - Time (selectable between 06:00 and 17:00)
   - Days (Monday to Friday, format: 1,2,3,...)
   - Questions (up to five)
   - Target users for reminders
   
   When submitted, another function node processes and overrides the JSON-based config via a persistable storage workflow (workflowId: 1005). The user is then notified of a successful configuration using Mattermost’s ephemeral messaging.
   
   2. Scheduled Standup Reminders
   
   A cron node named "Every hour" triggers the system hourly between 06:00 and 12:00 on weekdays. It checks which standups are due at the current time using the "Filter Due Standups" function.
   
   For each due standup, the bot identifies which users should be reminded. It uses the Mattermost API to fetch direct message channels (`/api/v4/channels/direct`) and sends a personalized button-based message containing an action to provide an update. Clicking the button opens an interactive standup dialog inside Mattermost, using the `/api/v4/actions/dialogs/open` endpoint.
   
   3. Collecting and Processing User Responses
   
   Once a user submits their standup response, n8n captures this action through the “Action from MM” webhook node. Responses are routed via a Switch node to determine whether they are configuration changes or actual standup answers.
   
   For standup answers, the workflow pulls user data (like username) and references the configuration to match the relevant standup. It then generates a formatted markdown report using the original questions and non-empty answers. The formatting uses classic markdown headers (e.g., ### Name, #### Question).
   
   4. Publishing Reports and Tidying Up
   
   Reports are posted back into the original Mattermost channel using the `/api/v4/posts` endpoint, acting as a threaded response to the original reminder post. After publishing, the bot either updates the original reminder to thank the user or deletes it entirely, depending on configuration.
   
   By default, empty answers like “no”, “-”, “n/a” and similar are filtered out of the report to keep posts concise and focused.
   
   Why This Workflow Matters
   
   This workflow demonstrates the power and flexibility of n8n when combined with a collaborative platform like Mattermost:
   
   - It transforms a manual communication ritual into an automated process.
   - It uses cron scheduling, conditional logic, and interactive dialogs without any backend development.
   - It offers robust user experience within Mattermost while separating logic cleanly via reusable config workflows.
   
   Conclusion
   
   The “Standup Bot – Worker” workflow is a practical showcase of how automation can boost team productivity and reduce administrative overhead. From reminders to reports, everything is orchestrated through an intuitive, user-customizable setup.
   
   Whether you're a project manager, a developer, or part of a distributed team, this solution is a powerful step forward in making work communication not just easier—but smarter.
   
   Interested in implementing this for your team? All you need is n8n, Mattermost, and a little bit of creativity.
   
   —
   
   Note: This article focuses on a single, active n8n workflow and assumes the connected sub-workflows (IDs 1004 and 1005) handle configuration persistence in a secure and efficient manner.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.