Why MCP Matters
The Problem MCP Solves
Before MCP, connecting AI to tools was like the early days of phone chargers — every device had its own connector. Each AI provider had different APIs, different formats, and different ways to define tools. Developers had to rebuild integrations for every new AI model.
MCP creates a single standard that works everywhere. Build your MCP server once, and it works with Claude, and any other AI client that supports the protocol.
Key Benefits
typescript
// Benefit 1: UNIVERSAL COMPATIBILITY
// Your MCP server works with ANY MCP client
// Claude Desktop, Cursor, Windsurf, VS Code, custom apps...
// Benefit 2: SEPARATION OF CONCERNS
// AI handles reasoning, your server handles actions
// Clean architecture, easy to maintain
// Benefit 3: SECURITY
// MCP has built-in permission models
// Users approve tool access, not the AI
// Benefit 4: COMPOSABILITY
// Mix and match servers freely
// GitHub + Database + Slack = powerful AI assistantTip:MCP is open-source and governed transparently. It's not locked to any single company — anyone can build MCP clients and servers.
What Can You Build?
MCP servers can provide three types of capabilities: Tools (actions the AI can perform), Resources (data the AI can read), and Prompts (reusable templates). Here are some real-world examples:
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// Real MCP servers people have built:
// 1. GitHub Server - create PRs, manage issues, review code
// 2. Database Server - query databases, run migrations
// 3. Slack Server - send messages, search channels
// 4. File System Server - read/write files on your machine
// 5. Web Scraper Server - fetch and parse any webpage
// 6. Docker Server - manage containers and images
// 7. Kubernetes Server - deploy and monitor clusters
// 8. Email Server - read, compose, and send emailsPreviewTypeScriptRead Only
Copy this code and run it locally with
npx tsx server.ts