Model Context Protocol

Model Context Protocol (MCP) standardizes context provision to LLMs, enabling integrations, vendor flexibility, and data security.

Introduction

MCP is an open protocol standardizing how applications provide context to Large Language Models (LLMs), acting as a 'USB-C port' for AI.

Key Features:

Standardized Integrations: Offers pre-built integrations for LLMs to connect with various data sources and tools.
LLM Provider Flexibility: Enables switching between different LLM providers and vendors.
Data Security: Provides best practices for securing data within your infrastructure.
Client-Server Architecture: MCP follows a client-server model, allowing host applications to connect to multiple servers, each exposing specific capabilities.

Use Cases:

Building agents and complex workflows on top of LLMs.
Integrating LLMs with local data sources (files, databases) and remote services (APIs).
Creating reusable prompt templates and workflows.
Enabling LLMs to perform actions through servers.