Tag: MCP

GitHub has added enterprise MCP allow and deny lists alongside third-party agent activity in usage metrics; this article explains the policy semantics, telemetry boundary, and a practical rollout loop.

An architectural deep dive into Cloudflare's proposed Agentic Internet framework, spanning Web Bot Auth, Markdown for Agents, WebMCP browser tool exposure, and x402 micro-payments.

A summary of the AWS × HoyaBit session: the four major pain points of Enterprise Agentic AI, the Amazon Bedrock AgentCore (Runtime/Memory/Gateway/Governance) technology stack, and how Taiwan's FSC-compliant exchange pushed their voice-trading Agent and enterprise brain platform into production.

A summary of the talk by Amazon and TapPay VP Joseph: How Alexa for Shopping (formerly Rufus) achieved $12B revenue with a single-agent architecture, the difference between Agentic Commerce and traditional shopping guides, and AI autonomous shopping safety guardrails like one-time virtual cards, intent validation, and limit management.

An in-depth look at how delivery giant DoorDash combined LLMs, domain-specific AI Agents, Model Context Protocol (MCP), and a three-tier memory system to build an enterprise-grade AI shopping assistant capable of running 2,000 automated evaluations daily.

Direct insights from the Google Cloud Day Taipei Tech Track! From the underlying TPU hardware and diverse Gemini model lineup to the custom-tailored Anti Gravity 2.0 platform and MCP protocol for developers, explore how Google is building a complete Agent development ecosystem.

A practical guide to Data Agent Kit's preview status, open-source artifacts, Skills/MCP/plugin architecture, and enterprise responsibilities for access, cost, validation, and incident recovery.

A practical reading of the Model Context Protocol 2026-07-28 breaking changes, official Tasks and Apps extensions, and the compatibility and security work required for enterprise migration.

GitLab Orbit is a contextual graph for the software development lifecycle, providing unified, queryable development data for AI Agents and human developers. This article explores Orbit's underlying graph schema, ClickHouse/DuckDB deployment options, and how it combines with MCP to deliver a powerful AI development experience.

AI Summit Recap: Enterprise AI Control Plane, 15+ Agents responsibility breakdown, 4-stage runtime workflow for wealth managers, 3-layer security boundaries, LLM-as-a-Judge quality governance, and E·P·J·T reusable capability foundation.

Summary of my Cloud Summit sharing: Three lifelines for financial AI deployment, why PoCs get stuck, the three-tier architecture of Cloud Native AI Runtime, MCP tool governance, Hybrid Search and Agentic RAG, and why accuracy is a workflow property rather than a model feature.

An in-depth analysis of the four Harness mechanisms of modern AI editors—Skills, Subagents, Commands, and Hooks. Clarify the actual configuration formats, trigger timings, and collaborative relationships of each platform, evolving from 'prompt engineering' to 'AI workflow architect'.

An in-depth analysis of the open specification Agentic Resource Discovery (ARD) released by Google in June 2026. This specification aims to standardize how AI Agents discover, verify, and connect with tools, skills, and other Agents in distributed systems, solving the core pain point of multi-agent collaboration: 'How do I find a trusted partner?'