文章摘要
The article outlines best practices for leveraging the Model Context Protocol (MCP) to enhance AI assistant capabilities and efficiency.
- It details optimal data structuring for MCP servers to maximize utility for AI clients.
- Recommendations are provided for client-side context management, including techniques for efficient processing and prioritization of information.
- Best practices for defining and discovering tools within the MCP ecosystem are discussed, emphasizing clear descriptions and parameter definitions.
- Guidelines are offered for robust error handling and resilience in MCP integrations.