Is MCP the future of AI. Bear VS Bull Case.

Is MCP the future of AI. Bear VS Bull Case.md

• Lets write a substack post on this headline "Is MCP the future of AI. Bear VS Bull Case".
• The pretex is that MCP is a fringe, but fast growing technology that man AI companies now has in their roadmaps
• Agentic coding, agentic workflows are bidded to become the next evolution in AI.
• Comanies like Superhuman are merging with companies like grammarly to form new eco system of agentic office tools.
• MCP is positioned to be the glue between agentic usage, be it Agentic flows or agent to agent systems.
• Are we peak what LLMs can achive, and the rest is just iimplementation with agentic flows and systems.
• Is MCP the path to AGI? and autonomouse robotics?
• Or is MCP simply just a hype, a foot note in history, important building block like TCP or https. But in the end just a cog in the system?
• lets keep the aricle easy to read and high level, thinking broad strokes, but also providing concreet interesting insights and anologies.
• This aricle should spark FOMO, Emotional punch, and is very hot topic right now.
• We should also frame it like this is the second wave of AI. And the first wave was AI wrappers, which was not very connected to other AI wrappers. MOre like isolated islands. where MCP can become interconnected and collaborative. The standard that everyone adobts. THe usbC of AI

Some things to consider: https://gist.github.com/eonist/ec14258f1e4dd87fc6bcc4aa9d5c2204/raw/3f7495dfc488f8c14df3075d58a87289f67ff1fa/Evaluating%2520the%2520Future%2520of%2520MCP:%2520Do%2520These%2520Concerns%2520Have%2520Merit%253F.md

and https://gist.github.com/eonist/ec14258f1e4dd87fc6bcc4aa9d5c2204?permalink_comment_id=5665154#gistcomment-5665154

interesting questions: Do I need to worry about MCP declining if RAG prioritizes internal knowledge storage How might training LLMs on API specs reduce the need for MCP integrations Could developer aversion grow due to the complexity of tooling with MCP Will increased use of RAG diminish the reliance on MCP for knowledge management Are these concerns valid given MCP's rapid industry adoption and ecosystem growth

and

Why these worries about MCP and RAG might be overblown or unnecessary How MCP's complexity could actually enhance AI reliability rather than hinder it Why RAG's focus on retrieval doesn't make MCP redundant for complex tasks How industry adoption of MCP indicates confidence, not fear, in its capabilities In what ways combining MCP and RAG can create a more robust AI system