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What is the Model Context Protocol (MCP)?
The Model Context Protocol (MCP) is an open standard created by Anthropic that allows AI models like Claude, GPT, and Gemini to securely connect with external tools, APIs, databases, and services.
Think of MCP as a universal USB port for AI — instead of building custom integrations for every tool, MCP provides one standardized protocol that works everywhere. Your AI assistant can query databases, manage GitHub repos, send Slack messages, and more — all through MCP servers.
Read the Full Guide# Install via npx
npx @modelcontextprotocol/server-github
# Add to claude_desktop_config.json
{
"mcpServers": {
"github": {
"command": "npx",
"args": [
"@modelcontextprotocol/server-github"
],
"env": {
"GITHUB_TOKEN": "your-token"
}
}
}
}---
name: nextjs-expert
description: Next.js App Router specialist
---
# Next.js Expert Skill
## Conventions
- Always use Server Components by default
- Use 'use client' only when needed
- Follow App Router file conventions
- Use next/image for all images
- Implement loading.tsx for Suspense
## Code Style
- TypeScript strict mode
- Tailwind CSS for styling
- shadcn/ui for componentsWhat Are AI Skills?
AI Skills are reusable instruction sets that make AI coding assistants smarter at specific tasks. While MCP connects AI to external tools, Skills teach AI how to behave — like following your coding standards, using specific frameworks, or applying security best practices.
Skills are defined in simple files: SKILL.md for Claude Code, .cursorrules for Cursor, and rule files for Windsurf. Together with MCP servers, Skills create a complete AI development environment tailored to your specific workflow.
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Featured MCP Servers
The most popular Model Context Protocol servers — verified, documented, and ready to install
GitHubPopular
Create repositories, manage issues, pull requests, and automate workflows directly from your AI assistant
npx @modelcontextprotocol/server-githubView SupabasePopular
Query databases, manage authentication, and interact with your Supabase project using natural language
npx supabase-mcp-serverView PostgreSQLPopular
Run SQL queries, inspect schemas, and manage PostgreSQL databases with your AI coding assistant
npx @modelcontextprotocol/server-postgresView Filesystem
Read, write, and manage files and directories on your local machine securely through MCP
npx @modelcontextprotocol/server-filesystemView Brave SearchPopular
Search the web using the Brave Search API for up-to-date information and research
npx @modelcontextprotocol/server-brave-searchView Slack
Send messages, manage channels, and interact with your Slack workspace through AI commands
npx @modelcontextprotocol/server-slackView Featured AI Skills
Reusable instruction sets for Claude Code, Cursor, and Windsurf that make your AI assistant an expert
Next.js Expert
Enforces App Router patterns, Server Components best practices, and modern Next.js 14+ conventions
TypeScript Strict Mode
Ensures strict type safety, proper generics usage, and advanced TypeScript patterns across your codebase
Code Review Agent
Automated code review that checks for security vulnerabilities, performance issues, and best practices
TDD Specialist
Test-driven development workflow — writes tests first, then implements code to pass them
Works With Every Major AI Tool
MCP servers and AI Skills are compatible with all major AI coding environments
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Frequently Asked Questions
Everything you need to know about MCP servers and AI Skills
The Model Context Protocol (MCP) is an open standard created by Anthropic in November 2024 that allows AI models like Claude, GPT, and Gemini to securely connect with external tools, APIs, databases, and services. Think of MCP as a universal adapter — it provides a standardized way for AI assistants to access real-world data and take actions, like querying a database, creating a GitHub issue, or sending a Slack message.
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