Model Context Protocol (MCP)
Model Context Protocol (MCP) is an open protocol that standardizes how AI applications connect to external data sources, tools, and services. It provides a consistent way for AI models and agents to access context and perform actions through connected systems.
What is Model Context Protocol (MCP)?
MCP defines a standardized communication framework between AI applications and MCP servers that provide access to tools, resources, and prompts. Instead of building separate integrations for every service, developers can use MCP to connect AI applications with compatible systems through a common protocol.
Why is Model Context Protocol (MCP) Important?
MCP simplifies the development of AI applications that need to interact with external systems and enables agents to use tools and information beyond their built-in capabilities. However, these connections also introduce security considerations, making authentication, authorization, monitoring, and access controls important when deploying MCP-based systems.
Common use cases
MCP is commonly used to connect AI assistants and agents with databases, APIs, file systems, enterprise applications, development tools, and other external services.