Topic
6 articles found
AI coding agents are becoming more useful, but they still need context. A generic agent can write code, explain files, and generate boilerplate. But when you ask it to work with a specific platform, framework, or internal system, it often misses conventions, syntax rules, and runtime details. That i
A major overhaul of the Model Context Protocol shifts critical security responsibilities from the protocol itself to developers and platform operators. The post New Enterprise-Ready MCP Specification Brings New Security Challenges appeared first on SecurityWeek.
Build and Deploy a Remote MCP Server to GKE in 30 Minutes Integrating context from tools and data sources into LLMs can be challenging, which impacts the ease of development for AI agents. To address this challenge, Anthropic introduced the Model Context Protocol (MCP), which standardizes how applic
Hey 👋 — sharing something I've been working on lately, in case it's useful to anyone doing similar stuff. Quick context: I use Claude a lot for digging through YouTube — conference talks, tutorials, the occasional 2-hour podcast. And the workflow was always the same annoying dance: open the video,
I ran the same Google search through SerpApi's official serpapi-mcp server and through serp, the small open-source (MIT) CLI I built for the same job. Before I had searched anything, the MCP had already put 771 tokens into the model's context. The CLI put zero. When I did search, the MCP returned 6,
Introduction: Modern LLM-powered applications require external tools to interact with real-systems such as a databases, APIs, cloud platforms, and enterprise services. MCP (Model context Protocol) provides standardized mechanism for exposing tools to AI agents. In this article, we will build an MCP