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Why I'm replacing MCPs with CLIs for my AI setup
Hey guys, In my quest of clean context windows, I have find a way, sharing with you some learning. MCPs are a great idea with a hidden cost: context bloat. Every MCP you connect loads its full tool schema into your agent's context window. Doesn't matter if you're using 2 tools or 20, the whole thing gets serialized. I checked my setup recently and MCPs alone were eating 12% of my available context before I even started working. The alternative I've been using: CLIs + skill docs. Instead of an MCP that exposes 15 tools to your agent at all times, you build a CLI that does the same thing. Then you write a small skill doc, just a markdown file explaining what the CLI does and when to use it. Your agent reads the doc when relevant, runs the CLI via bash, done. Benefits: - Context only used when actually needed - Works with Claude Code, Codex CLI, or any agent that can shell out - Easier to debug (it's just bash commands) - Can publish to npm and share with others I've been converting my MCPs one by one. Down to 3% overhead now. Last one I build for my PAI (Personal AI Assistant) meetgeek-cli I can only suggest you guys give this a try! Hope this help! Quentin 🚀
Why I'm replacing MCPs with CLIs for my AI setup
0 likes • Jan 10
Hey @Quentin Daems - strangely I wrote about this topic yesterday. I agree - MCP is hugely overblown and CLIs are hugely underrated as tools for agents. This my setup for "personal" automations and agents: https://newsletter.owainlewis.com/p/the-simplest-way-to-build-ai-agents
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Owain Lewis
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@owain-lewis-2399
AI Engineer. Director, Software Engineering.

Active 3h ago
Joined Apr 23, 2025
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