Thread by @davidteren

MCP (Model Context Protocol) basically enables LLM's (AI) to gain access to additional sources of data and interact with API's, file systems, databases and more.

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MCP is like a universal translator between AI assistants and your everyday apps.

Without MCP: AI is limited to what it learned in training (like using an old encyclopedia).

With MCP: AI can access live information and perform actions in your apps.

User: Asks questions or makes requests in plain language.

MCP Client: The chat interface where you type your request.

AI Model: Understands what you're asking for.

MCP Servers: Special connectors for each service (Gmail, Drive, etc.).

You ask: "Summarize the emails about Project X and schedule a team meeting."

AI understands your request and determines it needs access to emails and calendar.

MCP Servers fetch the relevant emails and check team availability.

AI creates a summary and schedules the meeting with proper participants.

Search through files and emails using conversational language.

Get personalized recommendations based on your actual documents.

Schedule meetings with automatic time zone adjustments.

Draft emails with context from multiple sources.

Organize information across different apps with a single request.

Search through files and emails using conversational language.

Get personalized recommendations based on your actual documents.

Schedule meetings with automatic time zone adjustments.

Draft emails with context from multiple sources.

Organize information across different apps with a single request.

Transforms AI from "information only" to "gets things done."

Keeps your data secure (MCP only accesses what you permit).

Creates a standard way for any app to connect with AI.

Allows developers to build new connections for more services.