Model Context Protocol (MCP)
An open standard for linking AI assistants and agents to other systems, so they can read from and act in tools such as document storage, email or a business application. A connection built on it is often called an MCP server.
What it means in practice
The Claude and ChatGPT comparison describes the Model Context Protocol as an open standard for linking assistants to other systems. Claude’s Team plan includes ready-made connectors to workplace tools such as document storage, email, calendars and team chat, and Enterprise adds custom connectors built on the protocol, so a business can connect a system of its own.
How we use it
MCP is taught as part of building agents. The AI agents in action course covers MCP servers under giving an agent its tools, and the Mistral Le Chat workshop covers how AI connects to tools, what APIs do, what MCP means and why connectors matter for advanced workflows.
FAQ
Questions about Model Context Protocol (MCP)
What is an MCP server?
It is a connection, built on the Model Context Protocol, that gives an AI assistant or agent access to another system. The AI agents in action course covers MCP servers alongside tools, flows and Power Automate as ways of giving an agent powers.
Which Business AI Tools Support MCP?
The Claude and ChatGPT comparison reports that Claude's Enterprise plan adds custom connectors built on the Model Context Protocol, while ChatGPT offers projects and connected-app options of its own. In both cases the assistant only sees what an administrator connects.
What it means for a Business
A connector widens what an assistant can see and do, so the access settings matter more than the tool. In the business plans the Claude and ChatGPT comparison covers, the assistant sees what an administrator connects and no more.
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