What is Model Context Protocol (MCP)

As an open standard, the Model Context Protocol (MCP) connects AI agents to relevant data sources, such as repositories, tools, or external APIs. Instead of the above mentioned integrations for each data silo, MCP provides a universal interface to connect multiple relevant sources to feed the right context to the models and agents. This universality simplifies how agents access relevant context, leading to better task outcomes, execution, and more consistent performance across complex environments.

For managing complex tasks, the Dynatrace MCP server on GitHub helps to get real-time end-to-end observability and MCP data into your daily workflow.