The article explains that custom Copilot agents transform GitHub Copilot from a generic autocomplete tool into a domain-expert teammate by packaging specialized instructions, skills, and tools. This a…
The article explains that AI coding assistants like Claude Code and Cursor face limitations when performing large-scale code refactoring because they rely on token-intensive and error-prone full-file …
This article summarizes a book titled "From Problems to Patterns: Generative AI in .Net (C#)," which teaches .NET developers how to build production-ready AI applications using the full Microsoft AI s…
The article describes how AgentShare upgraded its infrastructure to create a production-ready MCP (Model Context Protocol) Server capable of handling heavy concurrent read/write loads from autonomous …
Model Context Protocol (MCP) tool stack, which integrates 13 specialized servers offering approximately 180 tools for an AI-native development workflow. These servers cover a wide range of functions i…
The Model Context Protocol (MCP) is an open-source standard built on JSON-RPC 2.0 that unifies how AI agents connect to external systems, eliminating the need for custom integrations for each data sou…
MCP SEP-2468, merged into the Model Context Protocol specification on May 17, 2026, implements RFC 9207's `iss` parameter to defend against OAuth mix-up attacks. The change requires authorization serv…
The Model Context Protocol (MCP) is an open standard that functions as a universal interface, allowing any AI model to connect seamlessly with any external tool, database, or API using a single protoc…
While the initial hype around the Model Context Protocol (MCP) has cooled down, the technology remains critically important as it transitions from a trend to foundational infrastructure. It notes that…
Amazon Web Services has launched a new integration that connects its AWS API MCP Server with Amazon Quick using Amazon Bedrock AgentCore Runtime, enabling DevOps engineers to execute AWS CLI commands …
Building a custom on-device Agent Skill called "Offline Brain" for Android using Google's new AI Edge Gallery, which allows AI inference and tool execution to happen entirely on the device without sen…
The Model Context Protocol (MCP) is a standardized method for AI systems to connect with external tools, APIs, databases, and workflows, functioning like a "USB-C for AI" to eliminate the need for cus…
Roboflow launched a Model Context Protocol (MCP) server that enables AI agents like Claude and Codex to build and deploy computer vision applications. The server gives agents tools to create projects,…
MCP (Model Context Protocol) server integrations are not inherently dangerous, but the primary security risk lies in how vendors build and configure them. It warns that most buyers fail to scrutinize …
The Model Context Protocol (MCP) is an open standard published by Anthropic that enables AI assistants to securely discover, call, and receive results from structured tools, bridging the gap between A…
The Model Context Protocol (MCP) is a standardized communication framework that acts as a universal bridge, enabling AI models to seamlessly connect with external tools, databases, APIs, and software …
Manifold Security has added security scores for over 7,700 MCP (Model Context Protocol) servers to its supply chain intelligence platform, highlighting a critical security gap. It warns that the rapid…
Creation of Coda AI, a VS Code extension designed to eliminate the workflow friction of constantly switching between a code editor and a browser to use AI tools. Unlike basic AI assistants, Coda under…
Dominion Observatory, a system that provides behavioral trust scores for over 14,800 MCP servers by analyzing their runtime behavior rather than static source code. Unlike traditional static analysis,…
MCP (Model Context Protocol) is a standardized communication layer that enables AI agents to discover, invoke, and receive results from tools, APIs, and databases. It clarifies that MCP does not make …