SECAI Core · phase 5 of 15 · noun

Model context protocol

AI systems, agents, and tools to share data about memory, goals, and intermediate results, enabling multi-agent systems, orchestration frameworks, or AI assistants to coordinate seamlessly

The Explain card

Plain English
Model Context Protocol (MCP) is a standard way for AI systems, agents and tools to share context such as memory, goals and intermediate results, so assistants and multi-agent frameworks can coordinate.
Example
A coding assistant connects to an MCP server that exposes the file system and a database. The assistant can now list tables and read files on request, which is powerful, and also means a compromised MCP server can feed poisoned data or over-broad capabilities straight into the agent.
Why it matters
MCP turns models into actors with tools. Defenders need to inventory MCP servers, restrict their permissions, and treat their outputs as untrusted input.
Hook
MCP is the USB port for AI agents: handy, standard, and worth checking before you plug anything in.

Word knowledge

How the word is built, where it came from, and what it sits beside in memory.

In a sentence

The coding assistant lists files through a model context protocol server, then reads a source file before it proposes a patch.

Why these words
  • model French modèle, from Italian modello, from Latin modulus, a small measure, diminutive of modus, measure supplies the trained-stand-in half, so the handshake hangs on a copy rather than a person
  • context Latin contextus, a weaving together, from contexere, to weave together names the surrounding working state, so the handshake is about what sits around the request
  • protocol Medieval Latin protocollum, from Greek prōtokollon, first glued sheet, from prōtos, first, and kolla, glue names the agreed speaking order, so the phrase claims a shared rule rather than a private arrangement
Where it came from
Origin
English computing coinage by Anthropic, modelled on Language Server Protocol, from French modèle (Latin modulus, a small measure), Latin contextus (a weaving together), and Greek prōtokollon (first glued sheet)
Entered the language
2024
What changed
Model had meant a small measure, then a miniature to copy, then a mathematical stand-in, then a trained network. Context had meant a weaving together, then the surrounding text that decides a word's sense, then the working state a program carries. Protocol had meant the first sheet glued to a manuscript, then diplomatic etiquette, then the rules two machines agree to speak. Anthropic joined the three in 2024, after Language Server Protocol, as a name for a handshake a model uses to borrow another program's working state.
How it is spelled
Pattern
Latin modulus drops the u in English model
Pattern
Latin x from texere stays x in context
Pattern
Greek proto- stays proto- in English compounds, never first-
Breaks the pattern
the noun phrase stays three words; a hyphen appears only when the stack modifies another noun
Breaks the pattern
protocol keeps one l, while Italian protocollo, from the same Greek sheet, doubles it
Breaks the pattern
English model dropped the accent from French modèle, and keeps one l where German Modell doubles it

Spelled like

  • module
  • modest
  • pretext
  • prototype
Broken into chunks
  • mod
    • modest
    • modify
    • module
  • con
    • connect
    • contain
    • confer
  • text
    • textile
    • texture
    • pretext
  • proto
    • prototype
    • proton
    • protoplasm
  • col
    • collage
    • collagen
    • colloid
What it sits beside

Same subject

Same shape

  • language server protocol
  • transmission control protocol
  • hypertext transfer protocol
  • file transfer protocol

Ways into a model

Three-word protocol names

  • language server protocol
  • transmission control protocol
  • hypertext transfer protocol

Model compounds

Where it sits in the deck

Phase 5: Interacting with Models: Prompting, APIs, and Retrieval

With a working model and clean data, learn the interaction layer — how users and systems communicate instructions and retrieve grounded answers.