Skip to content

This repo turns “AI coding tools” into a repeatable engineering workflow. You’ll find editor extensions that surface errors/logs instantly, spec-driven frameworks (Spec Kit / OpenSpec) to align on requirements before coding, and skill/workflow packs (Agent Skills / Superpowers) to standardize planning, review, and execution.

Notifications You must be signed in to change notification settings

jacob-lou/20-God-Tier-AI-Coding-Extensions-Part-1

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 

Repository files navigation

20+ God‑Tier AI Coding Extensions – Part 1

A practical, step-by-step GitHub post for beginners: MCP servers that make AI coding faster, safer, and more reliable. This repo can be divided into two: a simpler version: README(this file), and for the complete installation and usage guide, please refer to details.md. You can jump to read as needed.

This repo exists to turn AI coding from “autocomplete on steroids” into a tool-using development workflow. MCP is the standard bridge that lets an AI client call external tools and pull real context—so your agent can fetch the latest docs, inspect a running browser, and operate GitHub actions instead of hallucinating.  If you’re new, the goal is simple: copy, paste, run, verify. Coming next: a detailed guide (details.md) with setup checklists, safe key handling, troubleshooting, and prompt recipes you can reuse for any project.

What you’ll learn

  • What MCP (Model Context Protocol) is and why it matters (think “USB-C for AI tools”).
  • A curated list of MCP servers (web scraping, search, latest docs, browser debugging, deploy, storage, GitHub ops).
  • A curated list of IDE extensions (Claude Code, GitLens, Office Viewer, ESLint, Prettier).

Quick Overview

The table below lists the MCP services covered in this post. Each item includes a short description—for step-by-step setup, installation, and runnable examples, please read details.md.

Plugin / Service What it does(short)
Firecrawl pic Firecrawl MCP Automatically scrapes and crawls web pages and returns structured content for your AI agent.
Brave Search pic Brave Search MCP Adds real-time, privacy-focused web search capabilities to your AI assistant.
Context7 pic Context7 Fetches the latest framework/library documentation to reduce “outdated knowledge” problems.
Web‑to‑MCP pic Web to MCP A Chrome extension: select a UI component on any page and let the AI replicate it using captured DOM/CSS/context.
DevTools pic Chrome DevTools MCP Lets AI control and inspect a live Chrome browser for reliable automation, debugging, and performance analysis.
EdgeOne Pages pic EdgeOne Pages MCP One-command deployment to Tencent EdgeOne Pages to get a public URL and speed up global access.
COS MCP pic COS MCP Lets AI operate Tencent Cloud Object Storage (upload/download, manage files, and more depending on configuration).
GitHub MCP pic GitHub MCP Official MCP server: AI can read repos and help with workflows like issues/PRs.

What Next?

➡️ If you are a beginner or wish to understand the specific usage of each extension, it is strongly recommended to read details.md. This file provides detailed installation steps, configuration examples, frequently asked questions, and sample prompts to help you quickly get started with these amazing extensions. We will also release the second part in the future, introducing more IDE plugins and workflows.

Quick safety note (please read)

MCP servers can access your tools/data. Only install from trusted sources, use least privilege, and rotate keys if needed. (There have been real-world malicious / vulnerable MCP server incidents.)
See: security notes inside the full post.


Credits / References (high-level)

  • MCP official overview: modelcontextprotocol.io
  • Firecrawl MCP, Brave Search MCP, Context7, Web-to-MCP, Chrome DevTools MCP, EdgeOne Pages MCP, Tencent COS MCP, GitHub MCP server
  • VS Code extensions: Claude Code, GitLens, Office Viewer, ESLint, Prettier

About

This repo turns “AI coding tools” into a repeatable engineering workflow. You’ll find editor extensions that surface errors/logs instantly, spec-driven frameworks (Spec Kit / OpenSpec) to align on requirements before coding, and skill/workflow packs (Agent Skills / Superpowers) to standardize planning, review, and execution.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors