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by liaokongVFX • Uncategorized
A guide and example implementation for building MCP servers and clients, focusing on web search and tool integration with large language models.
Perform internet web searches via MCP tools.
Integrate external tools and data sources with large language models.
That require interactive tool execution with user supervision via sampling.
This repository provides a comprehensive tutorial and example code for developing MCP (Model Context Protocol) servers and clients using Python. It demonstrates how to create tools like a web search server, integrate with large language models such as DeepSeek, and use features like sampling and prompts. The guide also covers debugging with the Inspector tool and loading MCP servers into Claude Desktop, facilitating seamless AI model interactions with external data sources and tools.
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