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Model Context Protocol (MCP) - GeeksforGeeks Model Context Protocol (MCP) is a standardized framework developed by Anthropic and was introduced in November 2024 It enables AI models to seamlessly connect with external tools and data sources without requiring custom integrations for each platform
Model Context Protocol - Wikipedia MCP defines a standardized framework for integrating AI systems with external data sources and tools [2] It includes specifications for data ingestion and transformation, contextual metadata tagging, and AI interoperability across different platforms
Explain It Like I’m Five: What the Heck Is an MCP Server? Think of MCP as the USB-C of AI It’s a standardized interface that lets any supported LLM interact with external tools, data sources, or APIs Like a universal port You build an MCP server once, and any client that supports MCP can use it
What the heck is MCP and why is everyone talking about it? What the heck is MCP and why is everyone talking about it? Everyone’s talking about MCP these days when it comes to large language models (LLMs)—here’s what you need to know
Model Context Protocol (MCP) on Windows overview MCP on Windows provides the Windows On-device Agent Registry (ODR), a secure, manageable interface to discover and use agent connectors from local apps and remote servers using Model Context Protocol (MCP) MCP is an open protocol designed to standardize integrations between AI apps and external tools and data sources
What is Model Context Protocol (MCP)? - IBM Model context protocol (MCP) serves as a standardization layer for AI applications to communicate effectively with external services such as tools, databases and predefined templates
MCP Explained: What Is It and Why Are We Suddenly Talking About It? Introduced by Anthropic in late 2024, MCP is an open standard, open-source framework that makes it easier for AI systems to connect with external tools, files, and databases Its goal is simple: to help intelligent agents share context, take action across systems, and stay coordinated
What Is MCP? How It Works (vs RAG) in AI Assistants MCP is a new protocol that lets AI models call tools, access APIs, and fetch real-time data while responding to users Here’s how it works and how it compares to RAG
Model Context Protocol (MCP) explained: An FAQ - Vercel Model Context Protocol (MCP) is a new way to help standardize the way large language models (LLMs) access data and systems, extending what they can do beyond their training data