AI - MCP

MCP

• MCP
  • overview
    • MCP
    • Architecture \& Ecosystem
    • Real-world Use Cases

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overview

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MCP

• MCP (Model Context Protocol): An open, model-agnostic protocol.
• Purpose: Allows LLMs to interact with tools, data, and prompts via a standardized architecture.
• Launch: Introduced by Anthropic in Nov 2024.
• Adoption: Rapidly integrated into open-source and production tools.

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Architecture & Ecosystem

• Client-server model:
  • MCP Client: Resides inside your AI app; communicates with the LLM.
  • MCP Server: Hosts tools, prompt templates, and data sources (e.g., GitHub, Google Drive, file system).

• Open Ecosystem:
  • Community-contributed servers and tools.
  • Official support by Anthropic and others.

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Real-world Use Cases

• Provides LLMs with seamless access to:
  • Source code repositories (e.g., GitHub)
  • Cloud storage (e.g., Google Drive)
  • Local machine file systems
• Integrated into applications like Claude Desktop for system-level access.

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