MCP

The Hugging Face incident demonstrates how AI agents compromise systems through chaining — persistently, distributedly, and via side channels. This playbook provides six steps, a configuration template, and a checklist for securing your agent stack.

Agent Plugins 1.0.0 packages Agent Skills and MCP servers into one portable format. Five companies shipped the spec without Anthropic, who created both technologies it wraps.

MCP v2 beta ships a stateless architecture. Here is what breaks, which SDK packages to pin, and how to sequence your migration before the 2026-07-28 spec.

MCP v2 Alpha changes stateless routing, SDK pins, authorization, and rollback planning before the July 28, 2026 spec date.

The Microsoft Learn MCP Server lets you transform static documentation into a dynamic, conversational agent inside Copilot Studio. Here is how to build, deploy, and use it in your M365 environment — and why MCP is becoming the standard connector layer for enterprise AI agents.

Codex v0.119.0 ships a full plugin system to stable. What MCP Apps, WebRTC voice, and the new extension SDK mean for AI-assisted development teams.

Agent-accessible APIs are the new competitive moat. Learn why MCP integrations, schema-first design, and tool discovery mechanisms determine which SaaS products AI agents will use.

MCP consulting is the work separating AI proofs-of-concept from production systems. Real implementation patterns, common mistakes, build vs buy framework, code examples, and cost estimates from Context Studios.

TypeScript SDK v1.27.1, Python SDK v1.26, OpenAI Agents SDK v0.12.x MCP integration, and Google ADK v2.0 Task API — where the MCP ecosystem actually stands in March 2026.

On March 13, 2026, @ai-sdk/mcp v2.0.0-beta.3 landed with breaking changes affecting every team shipping multi-agent systems. Here's what changed, what breaks, and why the Model Context Protocol needed this redesign.

February 2026 reshuffled the AI landscape: Claude Opus 4.6 and GPT-5.3-Codex launched on the same day, Gemini 3.1 Pro followed two weeks later. The result: no single 'best' AI model anymore — but clear lanes for coding, reasoning, and multimodal tasks.

Two AI platforms launched 48 hours apart — and they represent fundamentally different visions. Perplexity orchestrates 19 models at $200/month. Claude Cowork goes deep into enterprise. The opinionated developer take.