Skip to main content

Menu

LEVEL 0
0/5 XP
HomeAboutTopicsPricingMy VaultStatsPractice TestsCertifications

Categories

🎓 Certifications
🤖 Artificial Intelligence
☁️ Cloud and Infrastructure
💾 Data and Databases
💼 Professional Skills
🎯 Programming and Development
🔒 Security and Networking
📚 Specialized Topics
CheatGrid
HomeAboutTopicsPricingMy VaultStatsPractice TestsCertifications
LVLEVEL 0
0/5 XP
GitHub
© 2026 CheatGrid™. All rights reserved.
Privacy PolicyTerms of UseAboutContact

Popular Concrete MCP Servers Cheat Sheet

Popular Concrete MCP Servers Cheat Sheet

Back to Generative AI
Updated 2026-05-28
Next Topic: MCP Servers Implementation Cheat Sheet

The Model Context Protocol (MCP) is an open standard by Anthropic that enables AI assistants and agents to connect with external tools, APIs, and data sources through a unified interface. The ecosystem has grown to over 10,000 public servers since its November 2024 launch — spanning browser automation, databases, cloud infrastructure, DevOps, productivity, security, and dozens of other domains. A 2026-07-28 release candidate introduces a fully stateless protocol core, the MCP Apps extension for server-rendered UIs, and an official Extensions framework — making MCP the de facto USB-C of AI tooling. The key mental model is that each MCP server acts as a bridge between an LLM and a specific external system, exposing structured tools (functions the model can call), resources (data the model can read), and prompts (templates for common tasks) — so the most important decision is not which AI you use, but which MCP servers you connect it to.

What This Cheat Sheet Covers

This topic spans 15 focused tables and 280 indexed concepts. Below is a complete table-by-table outline of this topic, spanning foundational concepts through advanced details.

Table 1: Browser Automation & Desktop ControlTable 2: Web Search, Scraping & Content RetrievalTable 3: Databases & Data StorageTable 4: Vector Databases & AI MemoryTable 5: Developer Tools & Version ControlTable 6: Cloud Infrastructure & ServerlessTable 7: DevOps, CI/CD & Infrastructure as CodeTable 8: Productivity, Project Management & KnowledgeTable 9: Communication, Email & MessagingTable 10: CRM, Marketing, SEO & AdvertisingTable 11: E-Commerce, Payments & FinanceTable 12: Design, Media & Content CreationTable 13: Social Media & Communication PlatformsTable 14: Security, Identity & ComplianceTable 15: Domain-Specific & Industry Verticals

Table 1: Browser Automation & Desktop Control

Browser and desktop MCP servers give AI agents eyes and hands — the ability to navigate real pages, fill forms, extract structured data, and control OS-level UI without screenshots. Choosing between cloud-hosted headless solutions (Browserbase, Hyperbrowser) and locally installed drivers (Playwright, Puppeteer, Selenium) depends on whether you need anti-bot bypass or just programmatic control.

ServerExampleDescription
Playwright MCP
npx @playwright/mcp@latest
• Official Microsoft browser automation
• 28,900+ ★
• uses accessibility tree snapshots for structured interaction without screenshots
Browserbase MCP
npx @browserbasehq/mcp-server-browserbase
• Cloud-hosted headless browser with anti-detection
• Stagehand integration for AI-native scraping
• managed sessions
Puppeteer MCP
npx -y @modelcontextprotocol/server-puppeteer
• Official reference MCP server
• lightweight Puppeteer-based browser control
• page navigation, screenshots, form filling, JS execution
BrowserMCP (Browser Use)
pip install browser-use
• 6,100+ ★
• full browser agent framework
• vision + HTML extraction
• multi-tab support
Hyperbrowser MCP
npx @hyperbrowser/mcp
• AI-optimized cloud browser
• built-in CAPTCHA solving and stealth mode
• session management
AgentQL MCP
npx agentql-mcp
• Natural language selectors for web elements
• AI-powered semantic querying of page content instead of CSS/XPath
Stagehand MCP
npx @browserbase/stagehand
• AI-native web browsing SDK
• act(), extract(), observe() primitives
• natural language actions

More in Generative AI

  • LoRA and Parameter-Efficient Fine-Tuning Cheat Sheet
  • MCP Servers Implementation Cheat Sheet
  • Advanced RAG Patterns and Optimization Cheat Sheet
  • ColBERT and Late Interaction Retrieval Cheat Sheet
  • LangSmith Cheat Sheet
  • pgvector for Postgres Vector Search Cheat Sheet
View all 95 topics in Generative AI