Resumen del Artículo
The article introduces the Model Context Protocol (MCP) and its practical application through an MCP server. It details experiments conducted with an MCP server to extend the capabilities of AI models like Claude, focusing on defining and utilizing external tools.
- The setup involved an MCP server created with LangChain tools, enabling dynamic tool definition and execution.
- It demonstrates how to define a Google Search tool within MCP, allowing Claude to perform web queries.
- The research explored various prompting techniques, including self-reflection and Chain of Thought, to improve tool usage.
- The findings highlight MCP's potential for enhancing AI assistant functionality by providing structured access to external resources and enabling complex workflows.