You connected an MCP server to your agent so it could actually do things. Query a database. Send an email. Update a record. Five minutes of setup. It worked. You moved on.

The moment you connect that server, your agent can call every tool it exposes. Not the one you had in mind. All of them.

This episode breaks down why Model Context Protocol gives agents reach without governing it. Why a confusing input or a prompt injection can make an agent invoke a tool you never intended. Why most teams have no log of which tools their agent called or with what arguments. And what scoped, logged MCP access actually looks like.

MCP gives your agent reach. Scoping and logging decide whether that reach is safe.

Keywords: MCP, Model Context Protocol, MCP security, AI agents, agent tool access, AI governance, prompt injection, AI observability, LLMOps, enterprise AI, AI infrastructure, CTO, CISO

This is Maya. New episodes three times a week.

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