The Model Context Protocol (MCP) is an open standard, introduced by Anthropic in late 2024, for connecting AI models to external tools, data, and systems through a uniform interface. Instead of building a bespoke integration for every app, a developer exposes an MCP server once and any MCP-capable model can use it.
MCP matters because it is the plumbing for agentic workflows. An agent that can read your CRM, query analytics, and draft an email needs a reliable way to reach each system; MCP standardizes that connection so tools become composable rather than one-off integrations.
For operators, the practical upshot is a faster-growing ecosystem of things agents can actually do. As more software ships MCP servers, the gap between 'the agent suggests' and 'the agent does it for me' keeps closing.
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Frequently asked
What problem does MCP solve?
It removes the need to build a custom integration for every model-to-tool connection. Expose a tool once as an MCP server and any MCP-capable AI can use it, which makes agentic tool use far more scalable.
Who created the Model Context Protocol?
Anthropic introduced MCP as an open standard in late 2024. Being open, it has been adopted across multiple AI clients and a growing catalog of community and vendor MCP servers.
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