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What is the Model Context Protocol? Universal Standard: An open-source protocol for AI to connect with external data, tools, and workflows. "USB-C for AI": A single, standardized way for AI models to plug into databases and services. Active AI Participation: Enables AI to access real-time information and perform advanced tasks. Who Built MCP? Anthropic: Developed and open-sourced MCP in November 2024. Mahesh Murag & Team: Led the engineering effort to solve AI's integration challenge. Major AI Players: Adopted by leaders: OpenAI, Google DeepMind Growing Ecosystem: Supported by Block, Apollo, Replit, Sourcegraph Community Driven: Open-source for rapid innovation & adoption How Does MCP Work? MCP Servers: Expose data & tools (e.g., Google Drive, Slack, APIs) to AI. MCP Clients: AI apps request data/functions from servers. Standardised Protocol: JSON-RPC 2.0 for secure, two-way data exchange. For Developers: Build MCP servers to expose capabilities with standardized format for AI understanding. For AI Applications: Use MCP clients for seamless consumption. No custom integration code needed. Why is MCP a Game Changer? - Solves the "N×M" Problem: Replaces countless custom connectors with one universal protocol - Enables Rapid Integration: AI apps instantly connect to new tools without custom coding - Empowers Autonomous AI Agents: Facilitates complex, multi-step workflows across diverse systems - Transforms User Experience: AI assistants become more capable, personalized, and context-aware