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AI + MCP

AI systems that connect, act, and stay governed.

Practical explainers about Model Context Protocol, enterprise AI agents, security, permissions, and the operating models that turn demos into reliable workflows.

ConnectTools, data, and context
GovernIdentity, permissions, audit
OperateReliable production workflows

Build production compatibility on the current specification, then migrate SDKs and extensions behind controlled release gates.

Current specification: 2026-07-28

The July 2026 revision introduces a stateless core, extensions, Tasks, MCP Apps, authorization changes, and formal deprecation handling.

Reviewed July 29, 2026Open version and migration guide →Official specification ↗

MCP IN THE SYSTEM

MCP is one layer—not the entire agent architecture.

Use it with identity, orchestration, evaluation, observability, approvals, and incident response.

01

Identity

Know the user, client, server, and delegated authority.

02

Permissions

Scope tools and data to the minimum required capability.

03

Observability

Trace discovery, calls, arguments, results, and failures.

04

Recovery

Support revocation, rollback, retries, and human escalation.

See MCP inside the full architectureOpen pattern library →

CLAUDE ENGINEERING

Go deeper on Anthropic’s Claude ecosystem.

Model selection, Claude Code, agent tooling, enterprise governance, safety, and work.

Open the Claude hub

AI SEARCH PULSE

What people want to understand about AI.

Five recurring search themes reveal the user journey from basic curiosity to tool selection, career adaptation, and deeper technical understanding.

01

FOUNDATION

What is AI?

A plain-language starting point for beginners, students, business leaders, and anyone trying to separate AI from ordinary automation.

02

TOOLS

Best AI for coding or writing

Comparison searches focused on capability, accuracy, price, privacy, workflow fit, and the quality of the final output.

03

PRODUCTS

ChatGPT, Gemini, DeepSeek

Named-tool searches for access, features, pricing, mobile apps, comparisons, and troubleshooting.

04

CAREERS

Make money with AI / jobs AI may replace

Questions about opportunity, displacement, reskilling, productivity, and where human judgment still matters.

05

MECHANICS

How AI and generative AI work

Interest in models, training, inference, machine learning, deep learning, and large language models.

i

Important: Google Trends measures relative interest, not an exact worldwide query count. Treat these as broad recurring themes rather than a fixed global ranking.

Read the full guide

Featured reading

Build the full picture.

Start with the overview, then go deeper into the practical signals, risks, and decisions behind the trend.

XTIANZ lens

Context before conclusions.

Use this category as a map: understand the system, identify the signal, test the assumptions, and verify fast-changing facts with primary sources.

UNDERSTANDCOMPAREVERIFYDECIDE