From the course: Model Context Protocol (MCP): Hands-On with Agentic AI
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Limiting the blast radius of AI agents - Claude Tutorial
From the course: Model Context Protocol (MCP): Hands-On with Agentic AI
Limiting the blast radius of AI agents
- Before we go any further, let's talk about the blast radius of AI agents and the risks involved in running and building MCPs. When you give a language model capabilities to do something on your computer, it may do things you didn't intend and may even do things you would never do. And because of how AI agents operate behind the scenes in AI chat apps, it's easy to forget that things are happening on the computer and data is being manipulated in some way that we don't necessarily understand. You saw a direct example of that when I demonstrated how MCPs work inside Claude. Code is running. But even if you're looking at the code, you won't necessarily know what is actually happening on the server. That means, first, if you're intending to use an MCP, you have to trust the people who built it and trust that they have your interest in mind and are upholding their duty of care to you. Second, you need to know what the MCP might do on your computer. Is it just retrieving information or is…
Contents
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Using MCP servers in Claude Desktop6m 18s
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(Locked)
Model Context Protocol (MCP) explained3m 30s
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(Locked)
Exploring avaialble MCP servers and clients2m 20s
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Limiting the blast radius of AI agents2m 55s
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(Locked)
Leveraging the power of MCP servers1m 36s
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Using MCP servers in Cursor2m 42s
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