How Claude's memory and MCP work (and when to use each) | Mintlify | Blogs | TechiSeek

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How Claude's memory and MCP work (and when to use each)

Large Language Models (LLMs) like Claude can read files, troubleshoot issues, use external tools, and write tutorials much faster than a human ever could.

Blogs Mintlify

BlogsHow Mintlify uses Claude Code as a technical writing assistantMintlify Blogs8 ways teams use Mintlify to keep docs updated automaticallyMintlify BlogsMintlify + Claude Opus 4.6: Powering AI-native knowledge managementMintlify BlogsHow often do LLMs visit llms.txt?Mintlify BlogsIntroducing AI Assistant: Turning docs into your product expertMintlify BlogsDebugging a mysterious HTTP streaming issueMintlify BlogsMCP Safety Cheatsheet - NeonNeon Blogsxpander.ai Brings AI Agents to Slack, With Neon Powering the Backend - NeonNeon BlogsWhat’s MCP all about? Comparing MCP with LLM function callingNeon BlogsRun Product Analytics on Your Neon Data Using Fabi.ai - NeonNeon BlogsUsing Windsurf Cascade and Neon MCP for Agent-Driven Database Interaction - NeonNeon BlogsJust landed in the Neon CLI - NeonNeon BlogsOlder Tech In The Browser StackSmashingmagazine BlogsWhat I Wish Someone Told Me When I Was Getting Into ARIASmashingmagazine BlogsMasonry: Things You Won’t Need A Library For AnymoreSmashingmagazine BlogsBeyond Generative: The Rise Of Agentic AI And User-Centric DesignSmashingmagazine BlogsBuilding A Practical UX Strategy FrameworkSmashingmagazine Products & ServicesPre-recorded Speech-to-Text API | AssemblyAIAssemblyai BlogsWiki vs. OneNote in Microsoft Teams: What's the Difference?Zapier BlogsHow to use Zapier search stepsZapier