Farley on Nostr: The likely outcome (because history repeats) Just like with APIs: MCP will be widely ...

The likely outcome (because history repeats)

Just like with APIs:
MCP will be widely adopted in enterprise AI
it will simplify integrations massively
it will accelerate agent ecosystems
it will also centralize power quietly

And then — inevitably — a second wave will emerge:

“How do we run MCP-like agents locally, without OAuth, without centralized servers, without permission?”

That’s where:
local models
local tools
local context
decentralized protocols
will reassert themselves.

quoting
note14kr…6vee

Model Context Protocol (MCP) is an open standard that standardizes how AI agents and models connect to external tools, data sources, and services via a unified interface. It enables seamless tool discovery, context propagation across sessions, and secure interactions, often using HTTP/2 with Server-Sent Events for real-time communication.

Core Architecture

MCP defines client-server interactions where AI agents (clients) call server-exposed tools with JSON Schema validation for parameters and outputs. Key features include OAuth2 security, multi-format content negotiation (text/JSON/binary), and stateful workflows for complex tasks. This abstracts away custom API integrations, much like HTTP standardized the web.

Source: Perplexity