Model Context Protocol (MCP)

MCP is an open standard that lets AI applications connect to external tools and data sources in a consistent way.

Written by Reflective Data experts · updated Oct 5, 2026

Introduced by Anthropic in 2024, it defines how an AI client discovers and calls tools, and reads data, exposed by MCP servers. It replaces many one-off integrations with a shared interface.

Permissions and logging around MCP servers are essential when they expose company data.

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Model drift

Model drift is when an AI or machine learning system gets worse over time because the…

synthetic-data.md

Synthetic data

Synthetic data is artificially generated data that mimics the properties of real data.

ai-guardrails.md

AI guardrails

Guardrails are the rules and checks that keep an AI system within safe and intended behaviour.

context-window.md

Context window

The context window is the amount of text a language model can consider at once, including…

token.md

Token

A token is a small piece of text, often part of a word, that language models…

embeddings.md

Embeddings

Embeddings are numerical representations of text or other data that capture meaning, so similar things are…

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