5 ways to transform your workflow using GitHub Copilot and MCP

The Model Context Protocol (MCP), developed by Anthropic, is an open standard that enhances AI coding assistants like GitHub Copilot by integrating them with external systems such as knowledge bases, data stores, and testing applications. This integration allows AI tools to access contextual information, such as design specifications from Figma and security decisions from Obsidian, improving both the efficiency and accuracy of development workflows. MCP supports streamlined processes, enabling tasks like JWT authentication implementation to be managed more effectively within the IDE. By connecting Copilot to tools like Playwright for testing and Grafana for monitoring, developers can automate and optimize various stages of the software development lifecycle, from design and coding to testing and performance monitoring. These integrations not only save time but also reduce the need for context switching, allowing developers to maintain focus and accelerate their coding projects.