- 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
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
Will industry adoption of MCP signal a new era or just a fleeting hype in AI evolution
MCP’s True Test: Enduring Standard or Passing Trend?
1. What “Industry Adoption” Looks Like So Far
2. Why MCP Could Mark a New Era
Large models are already “good enough” for many cognitive tasks; the next performance delta comes from coordination. A common protocol turns isolated agents into workflow graphs, much like TCP/IP turned lone computers into the internet.
Even 1-million-token windows struggle with real-world state. MCP lets agents fetch, transform, and store external context on-demand instead of ballooning model size or cost.
Post-ChatGPT, teams discovered that every extra tool integration bloated prompt-engineering and observability overhead. MCP shifts that complexity downward, the same way SQL abstracted away vendor-specific storage quirks.
3. Why It Might Still Fizzle
If models can read an OpenAPI spec and call the endpoint directly, the value of a dedicated orchestration layer shrinks—especially for simple CRUD workflows.
Early adopters report high setup friction and poor error surfaces. History is blunt: SOAP, CORBA, and even Google’s Fuchsia never escaped “looks great on paper” because DX costs outweighed gains.
Even if MCP wins, it could become background infrastructure (think TCP/IP). That’s great for the ecosystem, but it limits direct monetization and slows visible hype cycles.
4. Net Assessment
5. What to Do Right Now
Treat MCP as an option hedge: proof-of-concept in one workflow while keeping fallback paths.
If you build internal platforms, wrapper libraries or tracing dashboards lower org-wide friction and future-proof the bet.
A shift toward a neutral foundation is the biggest leading indicator that MCP will survive hype deflation.
Bottom line: Early-stage adoption signals are strong enough to suggest MCP is more than a passing fad. Even if it fades from headlines, its role as a unifying layer for multi-agent orchestration is likely to persist—much like the humble but indispensable protocols that underpin today’s internet.