https://learn-ai.blindshot.kz/topics/sampling/Recent content in Sampling on AI Knowledge BaseHugoen-ushttps://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/client/sampling/Mon, 01 Jan 0001 00:00:00 +0000https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/client/sampling/<p>Sampling is the mechanism that allows an MCP server to request LLM completions through the client, effectively enabling servers to leverage AI capabilities without embedding their own model access. This is one of the most powerful and least intuitive parts of the MCP specification because it inverts the typical client-server relationship. Pay careful attention to the human-in-the-loop requirements, since the spec mandates that clients must obtain user approval before fulfilling sampling requests, which has significant UX implications. If you are building agentic MCP servers that need to reason or generate text, understanding this capability is essential.</p>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1577--sampling-with-tools/Mon, 01 Jan 0001 00:00:00 +0000https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1577--sampling-with-tools/Sampling With Tools