The OWASP MCP Top 10: Why Your AI Agents Are Vulnerable

If you've been building with AI agents in 2026, you've almost certainly touched MCP, the Model Context Protocol. It's Anthropic's open standard for letting AI models call external tools: read files, query databases, hit APIs, run code. Adoption has been explosive. There's just one problem: most MCP servers are dangerously insecure. I'm not speculating. The OWASP Foundation just published the MCP Top 10, a formal risk framework for Model Context Protocol deployments. After spending months in application security and building Ferrok, an automated scanner for MCP server configs, I want to walk you through what these risks actually look like in practice. What Is MCP, Quickly? MCP is a JSON-RPC protocol that lets AI agents (like Claude, GPT, or your custom agent) call tools on external servers. A tool might be "read a file," "query Postgres," or "send a Slack message." The agent decides which tools to call based on their descriptions and schemas. That decision-making process is exactly wher