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 w