This blog explains how to automate the creation of Jira tickets from incoming support emails using MuleSoft. It walks through configuring email (IMAP), Jira API integration, handling attachments, and building reusable flows. A complete accelerator is designed to improve support team efficiency and ensure no request is missed.

This blog explores how the Mule Azure Blob Storage Accelerator simplifies integration with Microsoft Azure Blob Storage. Instead of spending weeks building APIs for file uploads, downloads, and container management, teams can leverage a pre-built MuleSoft accelerator powered by the Azure Storage Connector. We’ll cover its benefits, setup steps, real-world use cases, and why it’s the fastest way to enable secure, scalable cloud storage integrations.

This blog walks you through a practical Proof of Concept (PoC) using MuleSoft and Gmail to automatically process incoming emails with PDF attachments.

This blog explains how to build a centralized Notification Dispatcher API using MuleSoft. A single API call triggers notifications across Email, Slack, SMS, and WhatsApp, eliminating the need for separate integrations. The setup includes RAML-based API design, connector configurations, parallel processing, and error handling — all optimized for speed and reliability.

This Accelerator System API enables automated support ticket classification in Salesforce Service Cloud using a Large Language Model (LLM). It ingests unclassified cases, uses LLM inference to predict metadata—Type, Reason, and Priority—and updates the Salesforce Case record accordingly and sends email reports.

This blog explains how to send MuleSoft application logs to AWS CloudWatch for centralized monitoring and analysis. It covers the complete setup—from CloudWatch and IAM configuration to updating your Mule project and verifying logs.