The role of MCP in context engineering

Model Context Protocol provides an open way to connect AI assistants with external data, tools, and APIs. After integration into applications, common usage patterns show that supplying better context is a primary benefit. Many users adopt MCP servers to access documentation and knowledge bases. Context engineering for coding agents involves providing relevant information and capabilities, including coding style, internal libraries, institutional knowledge, production data, and external sources such as Slack, Atlassian, Notion, and GitHub. MCP supports context engineering by standardizing connections to business tools. The agent determines needed context from the question and retrieves it in real time using the appropriate MCP server, enabling dynamic search and retrieval across sources.

""MCPs support context engineering because it creates a standard way for AI systems to connect to various business tools," says Todd Olson, CEO of Pendo, a product experience platform. "The key benefit is that the agent determines what context it needs based on the question, then uses the appropriate MCP server to fetch that information in real time.""

"In software development, context engineering is the act of supplying AI coding agents with relevant data and capabilities to improve the accuracy and relevance of their outputs. It also involves optimizing the breadth of information to guide efficient processing. Such context can include coding style, internal libraries, institutional knowledge, production data, and external data from platforms like Slack, Atlassian, Notion, or GitHub, among others."

"Now that developers have integrated MCP servers into applications, and they have been battle-tested, usage patterns are emerging. For instance, supplying better context for AI is the most commonly cited primary value of using MCP, according to Zuplo's State of MCP report released in early 2026. The Zuplo report also found that 63% of MCP users adopt MCP servers for accessing data sources such as documentation or knowledge bases."

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