MCP (Model Context Protocol) – how it works and why it matters

▪️Standardized context injection – MCP defines a way for LLMs to receive structured, real-time data from APIs, databases, or other systems. Instead of relying on hardcoded prompts or manual context switching, models can access external data in a more consistent way.

▪️Decouples model logic from data sources – Instead of embedding business logic directly into prompts or fine-tuning, MCP allows AI applications to pull in relevant data dynamically. This makes AI integrations more modular and maintainable.

▪️Reduces ambiguity in model responses – By providing structured external data, MCP helps models generate more deterministic and grounded outputs, reducing reliance on inference or hallucination.

Seems cool, but standards only work if they get adopted. Thoughts?