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UE5.8's official MCP plugin enables Claude Code and other AI Agents to directly control Blueprints, PCG graphs, materials, and level design. Complete setup and testing guide included.

A complete MCP practical guide using the official Python SDK — covering environment setup, FastMCP server development, Inspector debugging, and multi-client integration with Cursor and Cline.

A hands-on guide to building enterprise AI copilot workflows using Dify and MCP. Covers tool integration, parameter passing, code execution, and MCP version compatibility pitfalls.

A comprehensive guide to OpenCode, the open-source AI coding tool — covering installation (desktop/WSL), model config, rules files, custom commands, MCP extensions, and Agent SQL capabilities.

A systematic guide to OpenCode, the open-source terminal AI coding tool: installation methods (including WSL), model configuration, rules files, Agent types, custom commands, and MCP tool extensions.

Deep dive into Agent Loop mechanics: the think-act cycle, how agents differ from LLMs, termination conditions, and design principles for building autonomous AI Agent systems.

MCP Server vs Agent Skills: how to choose? This article systematically outlines an AI Agent architecture decision framework across three dimensions—essential differences, applicable scenarios, and judgment criteria.

Learn how to build a multi-function AI agent workflow using ModelScope MCP Plaza and Dify, featuring dietary recommendations, algorithm practice, news, and travel planning with zero coding.

Learn how Codex or Claude Code uses AEDT MCP to connect with Ansys HFSS, automating Wilkinson power divider modeling, solving, and post-processing end-to-end.

Three essential MCP servers for embedded development: Debugger MCP, VS Code MCP Server, and Zephyr Official MCP — solving AI coding pain points like missing syntax checking and documentation access.

sakana-mcp wraps Sakana AI Scientist v2 as an MCP server, letting Claude and Cursor act as research directors to orchestrate autonomous research cycles.

Complete guide to Claude Code: installation, agentic loop principles, the Explore→Plan→Code→Commit workflow, CLAUDE.md configuration, context management, MCP connections, and Hooks automation.

Understand the key differences between MCP (Model Context Protocol) and Skills through practical analogies and real testing scenarios to boost AI-driven test automation efficiency.

A comprehensive guide to Claude Code Skills and MCP resources, covering international platforms like Skills.mp and Smithery plus Chinese alternatives, with a quick selection guide to boost AI coding productivity.

6 essential MCPs for Claude Code: Playwright, File System, Sequential Thinking, Context7, GitHub, and Memos — upgrade your AI coding assistant into a complete development workstation.

7 practical configurations for Claude Code + OpenAI Codex dual-AI collaboration, from dual-window switching and official plugins to Skills evolution and bidirectional MCP Servers.

A deep dive into LLM selection for LangChain and MCP agent development, comparing DeepSeek V3/R1 vs Qwen3 on Function Calling and MCP support with practical tips.

Complete guide to connecting Unreal Engine 5.8 with MCP Server, covering UE 5.8 installation tips, VS Code Codex plugin setup, API key configuration, and MCP Server launch.

Compare 5 Agent tool types: CLI, API, MCP, Browser Use & Computer Use on speed, accuracy, and token cost. Includes a selection priority table to cut costs and boost Agent efficiency.

Deep dive into Anthropic's Agent Skills architecture: modular skill loading, core concepts, enterprise value, and how it fundamentally differs from MCP.