Model Context Protocol (MCP)

𝗠𝗖𝗣 (Model Context Protocol) is one of the emerging standards for AI integration. It swaps messy, fragmented setups for a sleek, unified approach, linking multiple data sources with solid security and custom prompts.

𝗧𝗵𝗲 𝗯𝗿𝗲𝗮𝗸𝗱𝗼𝘄𝗻

1. MCP Host: Runs the LLM application
2. MCP Client: Links 1:1 with external MCP server
3. MCP Server: A standalone process unlocking specific capabilities.

𝗖𝗼𝗿𝗲 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀

𝙈𝘾𝙋 𝘾𝙡𝙞𝙚𝙣𝙩:

1. 𝗥𝗼𝗼𝘁: Handles secure access (Like reading files locally without giving unrestricted access to your file system)
2. 𝗦𝗮𝗺𝗽𝗹𝗶𝗻𝗴: Requests the LLM help when needed

𝙈𝘾𝙋 𝙎𝙚𝙧𝙫𝙚𝙧:

1. 𝗣𝗿𝗼𝗺𝗽𝘁𝘀: Templates injected into LLM workflows
2. 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀: Data for processing like Files, text, DB, image, API
3. 𝗧𝗼𝗼𝗹𝘀: Functions to retrieve and perform actions on data

Try This: Pair MCP with Claude for a hands-on experiment