A developer built an AI agent that provides read-only access to an enterprise system of record using the Model Context Protocol (MCP) on Azure. The architecture uses Azure Logic Apps, API Management, …
LHIC (Local Human Intent Computer) is a deterministic browser automation runtime that executes known workflows locally without calling LLMs or relying on screenshots, achieving millisecond-level respo…
Moe Khalil argues that MCP (Model Context Protocol) onboarding is the most exciting development in tech, enabling seamless integration of AI models with external tools and data sources. The protocol s…
In agentic AI development, the bottleneck has shifted from model capability to token cost, with long-running agents accumulating irrelevant context that degrades performance. A lightweight cross-sessi…
A developer built a custom MCP (Model Context Protocol) server that exposes tools to AI agents, including a RAG search tool that queries a separate FastAPI service. The architecture enables AI agents …
MCP servers should expose separate tools with precise names and descriptions rather than a single generic tool, according to a guide on designing MCP tools for agents. The approach helps models choose…
AegisDB, a self-hosted memory database for AI agents, is now available as a single dependency-free C binary that provides durable, searchable long-term memory with multi-tenant auth, encryption at res…
The Agentic AI Foundation, hosted by the Linux Foundation, is promoting AGENTS.md as a simple open format to improve first-run success for coding agents. By providing repo-specific instructions, AGENT…
Rootly AI Labs released Doom Agent Arena, an open-source benchmark where AI agents control Doom players via MCP to test LLMs' incident-response skills. In 120 matches across four OpenAI models, gpt-5.…
An engineer ran an agent session that shipped three pull requests to pnp/sp-dev-fx-webparts in 75 minutes of active work, yet 40% of the engineer's messages were corrections. The agent repeatedly viol…
An engineer argues that most people do not need another AI chatbot, but rather an AI connected to a personal MCP server that can access external data and invoke tools to automate household tasks like …
Anthropic's Model Context Protocol (MCP) is an open standard that allows AI models like Claude Code to interact with external tools and data sources through a unified protocol, replacing custom integr…
The MCP 7-28 specification revision, expected July 28, 2026, deprecates Roots, Sampling, and protocol-level Logging while moving to a stateless, sessionless architecture with explicit state handles, s…
A developer built Kote, a tool that passively captures development context from AI sessions and Git activity. It features a VS Code CodeLens integration that surfaces relevant historical context and t…
A developer reflects on the familiarity gap when introducing AI agents and MCP servers to newcomers, noting that experienced builders often forget the initial learning curve. The developer recommends …
A product manager has launched Kifly, a commerce network built on the Universal Commerce Protocol (UCP) that enables AI agents to discover and pay for products, aiming to help small businesses and eng…
An agentic semantic layer is a metadata layer between AI agents and data warehouses that defines business metrics, enforces access control, and exposes governed query interfaces. Unlike traditional se…
A developer outlines enterprise deployment patterns for MCP servers, covering API key authentication, OAuth 2.0, and mutual TLS for high-security environments. The post also provides Docker and system…
An MCP server gives AI agents like Claude long-term memory that persists across conversations, using importance scoring, exponential decay, and consolidation to curate memories rather than simply stor…
A security team discovered that a company's MCP server had no authentication, allowing any Claude Desktop user to access sensitive data. The article explains how to implement OAuth for MCP servers, em…