MCP Is Unreliable and Overhyped - A PM at Amplitude Who Builds With It Every Day Responds
Автор: Aakash Gupta Learnings
Загружено: 2026-02-26
Просмотров: 58
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MCP has a reputation problem - and most of the pain is self-inflicted.
In this clip, we sit down with someone who literally helps build MCP at Amplitude and uses it in his own product management workflow daily. He responds to the four biggest criticisms of Model Context Protocol: that it's overhyped, wastes context, is painful to set up, and just doesn't work reliably. His answers were more nuanced than expected - and the two specific mistakes he identifies are ones almost everyone makes.
We cover why connecting too many MCP servers destroys your context window, how poor tool naming and descriptions confuse AI agents, and why the "MCP is broken" narrative is outdated now that clients like Cursor, Claude, and ChatGPT have adopted dynamic tool calling and RAG-based tool selection. If you've been frustrated with MCP or wondered whether it's worth learning, this is the most honest breakdown you'll find.
Topics covered: MCP best practices, Model Context Protocol setup, MCP context window optimization, MCP hype vs reality, MCP for product managers, AI agent tool management, and dynamic tool calling in 2026.
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#MCP #ModelContextProtocol #AIAgents #MCPBestPractices #AITools #ProductManagement #MCPHype
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