The MCP ecosystem crossed 87,500 GitHub stars and 13,000+ servers by mid-2026. But most developers only need 10-15. Here are the ones that actually matter, ranked by real-world usage.
What You Need to Know First
MCP servers connect your AI assistant (Claude, Cursor, Copilot) to external tools. Install one, and your AI can interact with that tool directly. No custom code needed.
Works with: Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, JetBrains, Amazon Q
Tier 1: Install These First (Must-Have)
1. GitHub MCP Server
The most-installed MCP server. Your AI can create PRs, review code, manage issues, search repositories, and push commits.
Use case: “Review this PR and suggest improvements” or “Create an issue for the bug I just described”
2. Filesystem MCP Server
Read, write, search files on your computer. Your AI becomes aware of your entire project structure.
Use case: “Find all files that import this module” or “Create a new component file with this structure”
3. PostgreSQL / MongoDB MCP Server
Query your database in natural language. AI writes SQL/queries, executes them, returns results.
Use case: “How many users signed up last week?” or “Show me orders with total > 10000”
4. Playwright MCP Server
Browser automation. AI can navigate websites, fill forms, click buttons, take screenshots.
Use case: “Go to our staging site and test the signup flow” or “Screenshot the homepage on mobile”
5. Slack MCP Server
Read channels, send messages, search history. AI becomes your Slack assistant.
Use case: “Summarize what happened in #engineering today” or “Post the deploy status update”
Tier 2: Install Based on Your Stack
6. Google Search Console MCP
SEO data directly in your AI. Check rankings, impressions, clicks for any page.
7. AWS MCP Server
Manage cloud infrastructure. Check EC2 status, S3 files, Lambda logs.
8. Supabase MCP Server
Database + auth + storage – all accessible via AI prompts.
9. Notion MCP Server
Read and write Notion pages. AI can update your documentation automatically.
10. Gmail MCP Server
Search emails, draft replies, manage labels. AI handles your inbox.
Tier 3: Specialized
11. Figma MCP Server
Design-to-code. AI reads your Figma designs and generates matching components.
12. Sentry MCP Server
AI analyzes error reports, suggests fixes, identifies patterns.
13. Linear MCP Server
Project management via AI. Create tasks, update status, plan sprints.
14. Stripe MCP Server
Query payment data, check subscriptions, analyze revenue.
15. Context7 MCP Server
Fetches up-to-date documentation for any library. AI always has current docs.
How to Install Any MCP Server
Add to your Claude Desktop config (~/.claude/config.json):
{
"mcpServers": {
"github": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-github"],
"env": { "GITHUB_TOKEN": "your-token" }
}
}
}Restart Claude. Done. The AI now has GitHub access.
Build Your Own MCP Server
If your tool doesn’t have an MCP server yet, building one takes 30 minutes. It’s just a program that exposes functions the AI can call.
Want to build MCP-powered projects? Join an AI hackathon on Reskilll