MCP (Model Context Protocol)
The Model Context Protocol (MCP) is an open standard created by Anthropic for connecting AI assistants to external data sources and tools. It defines how AI models can securely access databases, APIs, file systems, and other resources without requiring custom integrations for each combination of AI and data source. MCP acts as a universal connector, similar to how USB standardised hardware connections. For non-technical readers, think of MCP as a translator that helps AI assistants understand and work with your existing business systems. Instead of the AI operating in isolation, MCP allows it to look up customer records, query databases, or interact with your tools, all while maintaining security controls. This makes AI assistants far more useful because they can access real, current information rather than relying solely on their training data. MCP is designed with security in mind: connections are explicit, permissions are controlled, and organisations decide what data the AI can access. The protocol is open-source and vendor-neutral, meaning it works with various AI providers and can be implemented by any organisation.
Official WebsiteWhen to use MCP (Model Context Protocol)
Use MCP when integrating AI assistants with your organisation's data and systems. It's particularly valuable for building AI-powered tools that need access to internal databases, documentation, or APIs. MCP shines in scenarios where you want AI to provide accurate, contextual answers based on your specific business information rather than generic responses.
Consider MCP for customer service bots that need order history, development assistants that should understand your codebase, or internal tools that answer questions about company policies and procedures.
Why choose MCP (Model Context Protocol)?
Teams choose MCP because it provides a standardised, secure way to extend AI capabilities. Rather than building custom integrations for each AI tool and data source, MCP offers a single protocol that works across providers. Its open-source nature avoids vendor lock-in, and its security model gives organisations control over what AI can access. As AI becomes more central to business operations, MCP provides a foundation for safe, effective integration.
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