AI copilots like Contextia improve their functionality through the Model Context Protocol (MCP), which emphasizes the importance of structure and context in task execution. MCP consists of four core capabilities: tools for executing commands, resources for contextual data, prompts for user interaction, and logging for tracking actions. These elements work together to enable AI systems to perform complex tasks effectively, such as rerouting power or fetching data, ensuring they deliver practical usability beyond mere conversational abilities.
The Model Context Protocol (MCP) enhances AI copilots by providing structured tools and context that enable effective task execution, beyond simple prompts.
MCP supports capabilities such as tools for executing commands, resources for contextual data, prompts for user interaction, and logging for tracking actions.
Collection
[
|
...
]