MemotivaMCP Advanced: Sampling, Server-to-Client LLM Requests, Cost Shifting Explained

How do you implement sampling on the MCP client side?

MCP Advanced: Sampling, Server-to-Client LLM Requests, Cost Shifting Explained

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How do you implement sampling on the MCP client side?

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On the client side, you create a sampling callback function that receives request parameters and calls Claude using the Anthropic SDK or any other language model provider. The callback receives a RequestContext and CreateMessageRequestParams containing the messages from the server. You pass those messages to your Claude integration, get the response, and return a CreateMessageResult with the assistant role, the model name, and a TextContent object with the generated text. You then pass this callback when initializing your ClientSession using the sampling_callback parameter.
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