#MCP installation
350 related articles
Tutorials·3 min
Cursor 1.0 Getting Started Guide: Complete Workflow from Installation to MCP Setup
Complete guide to Cursor 1.0: installation, Chinese setup, MCP configuration, and AI Agent tips. From download to folder management, model selection, and file referencing for beginners.
Read more →
·3 min
localskills.sh: A Unified Management Platform for Cross-Tool AI Skills and MCP – Full Review
localskills.sh is a team-level platform for managing AI Skills, Rules, and MCP servers across Cursor, Claude Code, and Windsurf with a single install command.
Read more →
·3 min
localskills.sh: A Unified Management Platform for Cross-Tool AI Skills and MCP — Review
localskills.sh is a team-level AI skill and MCP server management platform that unifies distribution and reuse of AI Skills and Rules across Cursor, Claude Code, Windsurf, and more with a single install command.
Read more →
·4 min
Getting Started with Claude Code: Environment Setup, Common Commands, and Git Workflow in Practice
A detailed guide to Claude Code installation, domestic model switching, project analysis commands, and Git workflow practice to help developers quickly master this AI programming collaboration tool.
Read more →
·4 min
Complete Guide to Pi Coding Agent: Core Usage and Extension Techniques for a Minimalist Terminal AI Coding Tool
Complete guide to Pi coding agent: design philosophy, installation, shortcuts, session management, and 7-layer customization architecture. How this 45K-star minimalist terminal tool redefines AI coding workflows.
Read more →
·3 min
7 Vibe Coding Agents Tested & Ranked: Which AI Coding Tool Should Beginners Choose?
Hands-on comparison of 7 Vibe Coding agents including Trae, Cursor, Claude Code, Codex, WorkBuddy & CoderWork, ranked by beginner-friendliness and performance.
Read more →
·3 min
7 Vibe Coding Agents Tested & Ranked: Which AI Coding Tool Should Beginners Choose?
Side-by-side review of 7 Vibe Coding agents including Trae, Cursor, Claude Code, Codex, WorkBuddy, and CoderWork, ranked by beginner-friendliness, performance, and ease of use.
Read more →
·5 min
WebMCP in Practice: Building Browser AI Agent Tools & DevTools Debugging Guide
A detailed guide to Google's WebMCP standard proposal, covering imperative and declarative tool building, smart home and car configuration demos, and Chrome DevTools debugging for AI agent tools.
Read more →
·4 min
Hands-On Skill Writing and Agent Testing: A Guide to AI Testing Transformation
An in-depth look at AI testing challenges. Learn to write reusable Skill packs and master Agent testing and LLM evaluation—covering the SKILL.md six-dimensional rule, skill-creator, EvalScope, and dataset selection.
Read more →
·3 min
GLM 5.2 Hands-On: An Open-Source, Low-Cost Model That Rivals Opus
In-depth hands-on review of GLM 5.2: a 753B-parameter open-source model with a 1M-token context, rivaling Opus 4.8 at about one-tenth the price. Full setup guide for Claude Code and Cursor.
Read more →
·2 min
Hands-On with the CodeWorld Plugin: An AI Photo-Editing Tool Where You Point and It Changes
CodeWorld is a Codex-native infinite canvas plugin that lets you edit photos directly by drawing annotated leader lines. In our test, editing three spots at once only changed the marked areas while preserving overall detail—beginner-friendly, one line to install.
Read more →
·4 min
Claude Code from Scratch: A Complete Guide from Installation to Enterprise-Grade Development
A complete guide to Claude Code from beginner to enterprise practice: covering CLI installation, connecting domestic LLMs via CC Switch, basic commands, Git workflow integration, automated bug fixing, and engineering capabilities like MCP and SubAgents.
Read more →
·3 min
Pi Agent Configuration Guide: Building Your Own AI Coding Assistant
A step-by-step Pi Agent configuration tutorial covering installation, LLM connection, extension ecosystem, MCP setup, and Token-saving tips. Learn to build a truly controllable AI coding assistant.
Read more →
·3 min
AI Agent in Action: Building a Local Netlist Analysis Plugin for JLCEDA from Scratch
How a Bilibili creator used AI Agent, MCP, and Playwright to build a JLCEDA local netlist analysis plugin from scratch—covering features, setup, and the full Agent-driven dev process.
Read more →
·4 min
AI Testing in Practice: A Complete Guide to Three Types of AI Tools and the New Paradigm of Test Development
A comprehensive guide to three core AI tool types (personal assistant, CLI geek, AI IDE) in the testing era. Uncover the real challenges of AI test case generation and the new AI test development paradigm.
Read more →
·4 min
AI Testing in Practice: A Complete Guide to Three Types of AI Tools and the New Paradigm of Test Development
A complete guide to the three core categories of AI tools in the testing era (personal assistants, CLI geek tools, AI IDEs), revealing the real challenges of AI test case generation and the new AI test development paradigm.
Read more →
·3 min
Getting Started with Claude Code: A Practical Guide to Environment Setup and Git Workflow Automation
A systematic guide to Claude Code's core capabilities and environment setup, covering CLI installation, switching to domestic LLMs, project analysis, Git workflow automation, and automated bug fixing to help developers get started fast.
Read more →
·3 min
Getting Started with Claude Code: A Practical Guide to Environment Setup and Git Workflow Automation
A systematic guide to Claude Code's core capabilities and setup, covering CLI installation, switching to domestic models, project analysis, Git workflow automation, and automated bug fixing.
Read more →
·1 min
The Challenge of Managing 50 AI Skills: Achieving Smart Auto-Invocation with the MCP Protocol
When your AI skill library grows to 50, repeated installs, difficult searches, and memory overload become core pain points. This article introduces an MCP-based unified management tool.
Read more →
·1 min
The Complete Guide to Claude Code: How Does an AI Coding Assistant Differ from a Regular Conversational AI?
In-depth analysis of Claude Code's core features and advantages: auto-reading project context, direct code execution, memory of coding preferences, and connecting external services via MCP. Compared with Cursor and ChatGPT to help developers choose the right AI coding tool.
Read more →