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What are Automations?

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automation

  1. How It Works
    1. Example Automation
      1. Triggering Automations
        1. Chaining & Monitoring

          Automations on Glama let you create AI-powered workflows using natural language – think Zapier or n8n, but driven entirely by chat-like prompts instead of complex workflow builders.

          Access Automations at glama.ai/settings/automations.

          How It Works

          Every automation consists of two key components:

          • System Prompt - Describes what the automation should do and which MCP servers to use (e.g., "Monitor GitHub issues and send Slack notifications for high-priority bugs")

          • Trigger Message - The initial message that starts the automation workflow (can be overridden by webhook payloads)

          Example Automation

          Name: Send Latest AI News

          Automation Instructions:

          Read the latest news, pick news related to AI or MCP and send a summary to frank@glama.ai. If there are no AI related news, don't send an email.

          To enable this functionality, simply tag the MCP servers you need:

          That's it! The AI understands the instructions and uses the right tools automatically.

          Triggering Automations

          Start your automations in multiple ways:

          • Scheduling - Run on a schedule using CRON expressions (supports multiple schedules)

          • Webhooks - Trigger via HTTP requests from external services

          • Email - Initiate workflows by sending emails

          Chaining & Monitoring

          • Chain multiple automations - Connect automations together to build complex multi-step workflows

          • Built-in monitoring - Track automation success rates and debug failures with full observability

          • MCP Integration - Use any hosted or connected MCP server within your automations

          NOTE

          Coming Soon: Visual workflow builder (similar to n8n) for drag-and-drop automation design. Want early access? Email frank@glama.ai.

          Written by punkpeye (@punkpeye)