A chatbot that gets tricked into saying something embarrassing is a bad look. An AI agent that gets tricked into the same manipulation — but that agent can actually send emails, modify files, or call APIs — is a security incident. That distinction is why prompt injection, a problem that’s existed since the earliest LLM …
Prompt Injection Attacks: The #1 AI Agent Security Threat in 2026 Read More »
Reading about MCP is one thing; building a working server is another. This walks through the minimum real version: a Python MCP server exposing one useful tool, run locally, and connected to an MCP-compatible AI application. No prior MCP experience assumed — if you haven’t read the conceptual overview first, start there for the host/client/server …
How to Build Your First MCP Server: A Step-by-Step Tutorial Read More »
Before MCP, connecting an AI assistant to your own tools meant writing custom integration code for every single tool, every single time — one connector for Slack, a different one for GitHub, another for your database. The Model Context Protocol changes that math: build one MCP server for a tool, and every MCP-compatible AI application …
What Is MCP (Model Context Protocol)? A Practical Guide for Developers Read More »
