13 min read
3 days ago
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The word is now moving from rudimentary chatbots to multi agent solutions that perform continuous read, reasoning, retrieve, and act across enterprise systems. But organizations continue to connect LLMs to tools through custom, one-off integrations.
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Model Context Protocol (MCP) was introduced by Anthropic in November 2024 as an open source to connect AI solutions to systems where enterprise data and actions live, including content repositories, databases, business applications, APIs, and developer tools.
MCP is not “another framework”, it’s an interoperability layer for AI applications. In simple terms, MCP is like a USB-C port for AI applications. Rather than having to build custom connectors between every AI app and every enterprise system, MCP provides a standardized way for AI applications to connect with external tools, data, and workflows.
What MCP is solving in today’s AI world?
MCP addresses the key challenge of the integration problem of agentic AI, which is to provide secure and consistent access to enterprise tools, data, APIs, workflows, and context for AI agents without the need to create a one-off custom connector for each use case. In existing AI applications, every chatbot or agent requires…