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- What is the Model Context Protocol (MCP)?
MCP (Model Context Protocol) is an open-source standard for connecting AI applications to external systems
- Model Context Protocol - Wikipedia
The protocol distinguishes between MCP hosts, MCP clients and MCP servers An MCP host is typically an AI agent that interacts with an LLM model and requires services from one or more MCP servers
- Model Context Protocol (MCP) - GeeksforGeeks
Model Context Protocol (MCP) is a standardized framework by Anthropic that enables AI models to connect with external tools and data sources, providing secure, scalable and real time access without custom integrations
- Model Context Protocol · GitHub
The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools Whether you're building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need
- Introducing the Model Context Protocol \ Anthropic
The Model Context Protocol (MCP) is an open standard for connecting AI assistants to the systems where data lives, including content repositories, business tools, and development environments Its aim is to help frontier models produce better, more relevant responses
- Understanding MCP: A Layman’s Guide | Medium
Enter Model Context Protocol (MCP) — a novel approach to how AI systems handle context and memory In this guide, I’ll break down what MCP is, why it matters, and how it works — all in plain
- Specification - Model Context Protocol
Whether you’re building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need
- MCP Registry · GitHub
A faster, safer way to build with AI: the GitHub MCP Registry centralizes MCP servers for effortless discovery, integration, and open collaboration
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