MCP stands for Model Context Protocol. It is an open-source standard created to help AI models securely connect to external tools, data sources, and software systems.
Most engineers using MCP can't explain what's actually happening on the wire.
They've cloned a repo, run a server, watched it work. Ask what `initialize` does, or why the token bill quietly doubled after they added a few servers, and the conversation gets short.
So I mapped the entire protocol. One image. Save it.
๐ช๐ต๐ ๏ฟฝ๏ฟฝ๐ ๐ฒ๐ ๐ถ๐๐๐
Before MCP: N models ร M tools = a custom bridge for every pair.
With MCP: N + M. One protocol in the middle.
๐ง๐ต๐ฒ ๐๐ต๐ฟ๐ฒ๐ฒ ๐ฟ๐ผ๐น๐ฒ๐
Host is the app you use. Client lives inside the host. Server is your code, exposing capability.
Underneath: JSON-RPC 2.0. Nothing exotic.
๐ง๐ต๐ฒ ๐๐ต๐ฟ๐ฒ๐ฒ ๐ฝ๐ฟ๐ถ๐บ๐ถ๐๐ถ๐๐ฒ๐
Tools โ model-controlled. The AI decides when to call.
Resources โ app-controlled. The app pushes context.
Prompts โ user-controlled. The user invokes them.
๐ง๐ต๐ฒ ๐ฝ๐ฎ๐ฟ๐ ๐ป๐ผ๐ฏ๐ผ๐ฑ๐ ๐๐ฎ๐น๐ธ๐ ๐ฎ๐ฏ๐ผ๐๐
Every tool schema travels in every LLM call. 50 tools = 50 schemas, every turn.
OAuth across many servers becomes real secret rotation work.
Tool sprawl is the new microservices sprawl.
Schema drift breaks agents silently.
MCP isn't a framework. It's a protocol. Mental model is HTTP, not LangChain. Boring, foundational, slowly everywhere.
Save the graphic for the next time someone asks how MCP actually works.
Credit: codewithbrij
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Yes, I've made this point many times.
The beginning of a sigmoid looks like an exponential.
Not only can we "never be fully certain that what we are observing isn't in fact following a logistic trend before the inflection point", we can always be fully certain that *every* *single* *exponential* *trend* eventually passes an inflection point and saturates into a sigmoid.
Continuing an exponential trend beyond that inflection point requires a paradigm shift.
No physical process can grow indefinitely.
There are always friction terms in the dynamics equation that eventually become dominant (energy consumption, heat dissipation, quantum effects, thermal fluctuations, communication bandwidth, mass/energy density....).
Even processes that *appear* exponential on a long time scale are actually a succession of sigmoids, in which each new sigmoid is caused by a paradigm shift.
A good example is Moore's Law. It is saturating right now. But the exponential progress of the last 7 decades is due to a succession of technological paradigm shifts that weren't pre-ordained.
Each paradigm behaved like a sigmoid. Each new sigmoid overtook the previous one. The envelope turned out to be exponential.
We haven't seen similar paradigm shifts in, say, airplane speed or space travel.
Technological paradigm shifts require scientific breakthroughs.
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