What’s Special About MCP?

AI agents utilize tools to interact with the world, and these tools can be either generic or specific, with the latter often provided through Model Control Protocol (MCP) servers. While generic tools, like running bash commands, are integrated into the agent, MCP servers offer more specialized functions, such as managing Google Calendar events or reading Figma designs, alongside unique advantages like authentication, efficient communication, and adaptability. MCPs enhance an agent's capability by allowing fine-grained control over access and operations, providing security by limiting what agents can do based on user authorization. However, configuring MCPs can be cumbersome as they occupy context whether needed or not, highlighting the need for more efficient context management. Ultimately, while an agent's inherent knowledge can handle many tasks, MCPs become invaluable when specific, curated access to SaaS applications or data is necessary.