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    Glossary›MCP
    Glossary · AI

    What is Model Context Protocol (MCP)?

    Definition

    Model Context Protocol (MCP) is an open standard that allows AI systems to securely access external data sources, applications, and tools. It enables AI models to retrieve current information, interact with business systems, and execute tasks beyond their training data. MCP makes AI more useful and grounded in real organizational context.

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    AI integration protocolsystem connectivitydata accessexternal toolsopen standardsAI capabilityMCP
    In short

    MCP at a glance.

    Enables AI to access real organizational data
    Connects AI to business systems and apps
    Supports secure, standardized integrations
    Makes AI outputs more current and relevant

    Connecting AI to Your World

    Model Context Protocol bridges the gap between AI systems and organizational data. It allows AI assistants to retrieve customer records, pull real-time information, or trigger automated workflows. MCP is an open standard, so integrations work across different AI platforms and tools. Organizations using MCP enable their AI systems to provide more relevant, actionable assistance.

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    MCP — frequently asked

    Yes, MCP includes security features like authentication and permission controls. However, security depends on proper implementation and system administration.

    MCP is gaining adoption across AI platforms. Check your AI tool's documentation to see if MCP support is available.

    MCP can connect to any system that supports integration. Common connections include customer databases, knowledge bases, ticketing systems, and internal tools.

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