What is MCP (Model Context Protocol)?

MCP (Model Context Protocol) is an open-source standard created by Anthropic that enables AI applications like Claude and ChatGPT to connect to external tools, data sources, and services. Think of it like a USB-C port for AI—a universal connector that lets AI models plug into various tools and databases in a consistent, standardized way.

MCP works through three main components: MCP Hosts (AI applications like Claude Desktop), MCP Clients (connectors within the host that communicate with servers), and MCP Servers (external services that provide data and tools). When you ask an AI to perform a task requiring external data, the client discovers available tools, sends requests to the appropriate server, and returns results to the AI.

What can MCP servers do?

MCP servers can connect AI to virtually any external system. Common capabilities include: accessing databases and file systems, integrating with tools like GitHub, Slack, and Notion, executing code and running tests, managing cloud infrastructure, scraping web data, and automating workflows. Each server exposes specific tools the AI can use during conversations.

MCP is used by developers, enterprises, and AI enthusiasts who want to extend AI capabilities. Major AI providers including OpenAI, Google DeepMind, and Anthropic support MCP. It's particularly popular among developers building AI agents, companies creating enterprise knowledge assistants, and teams automating complex workflows.

How do I install an MCP server?

MCP servers can be installed in AI applications like Claude Desktop or Cursor. Typically, you add the server configuration to your app's settings file (like claude_desktop_config.json), specifying the server command and any required environment variables. Many servers are available via npm or can be run directly from their GitHub repositories.

MCP includes built-in security features like authentication specs and permission controls. However, as with any integration, you should review server code before installation, use environment variables for sensitive credentials, only install servers from trusted sources, and follow the principle of least privilege when granting permissions.

What's the difference between MCP and regular APIs?

While MCP uses APIs under the hood, it's specifically designed for AI context. Regular APIs serve general web applications, while MCP provides a standardized interface that AI models can discover and use autonomously. MCP servers are tool-agnostic, schema-driven, and reusable across different AI agents without custom integration code.

Can I build my own MCP server?

Yes! MCP provides SDKs in TypeScript, Python, C#, Java, and other languages to help you build custom servers. You can create servers that expose your own tools, connect to proprietary systems, or wrap existing APIs in an MCP-compatible interface. The official documentation provides guides and examples to get started.

Discover Top MCP Servers

Official MCP Servers

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Bright Data

1,977

Empowers AI agents to access, discover, and extract real-time web data, bypassing restrictions and bot detection.

Scout Monitoring

Provide AI Assistants with real-time application performance and error data for targeted code analysis and fixes.

Firecrawl

4,195

Empowers LLMs with advanced web scraping capabilities for content extraction, crawling, and search functionalities.

API Development

ElevenLabs

1,192

Enables interaction with Text to Speech and audio processing APIs for MCP clients.

API Development

Magic

4,195

Generate modern UI components instantly from natural language descriptions within your IDE.

Developer Tools

Browserbase

3,104

Enables LLMs to control cloud browsers for web interaction, data extraction, and task automation using Browserbase and Stagehand.

Developer Tools

Featured MCP Servers

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Task Master

25,235

Streamline AI-driven development workflows by automating task management with Claude.

FastAPI

11,486

Exposes FastAPI endpoints as Model Context Protocol (MCP) tools with zero configuration.

Ghidra

7,218

Enables Large Language Models (LLMs) to autonomously reverse engineer applications by exposing Ghidra's core functionality through an Model Context Protocol (MCP) server.

Excel

3,267

Enables Excel file manipulation capabilities without requiring Microsoft Excel installation.

Unity

2,649

Enables communication between Unity and Large Language Models for automating workflows and controlling the Unity Editor.

Godot

1,640

Enables AI assistants to interact with the Godot game engine by launching the editor, running projects, and capturing debug output.

Top MCP Servers

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TrendRadar

45,354

Aggregates trending topics from over 35 platforms, offering intelligent filtering, automated multi-channel notifications, and AI-powered conversational analysis for deep news insights.

Data Science & ML

Context7

44,504

Fetches up-to-date documentation and code examples for LLMs and AI code editors directly from the source.

API Development

Superpowers

42,729

Empowers AI coding agents with a comprehensive and structured software development workflow, from design refinement to TDD-driven implementation.

Developer Tools

MindsDB

38,376

Build AI applications that can learn and answer questions over large-scale federated data sources using a federated query engine.

Database Management

Playwright

26,589

Automates browser interactions for Large Language Models (LLMs) using Playwright.

Developer Tools

GitHub

26,580

Enables advanced automation and interaction capabilities with GitHub APIs for developers and tools using the Model Context Protocol.

API Development

Latest MCP Servers

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TubePilot

Empower AI assistants to fetch and analyze YouTube video data, transcripts, and channel insights.

Developer Tools

UltraAPI

Provides robust system monitoring and administration capabilities for Luna_chat_v7 environments.

Deployment & DevOps

Claude Code Telegram

Enables Claude Code to send and receive messages and media through Telegram for remote interaction.

Developer Tools

Larry

Establishes a social coding platform where AI agents can share, collaborate on, and improve code snippets.

API Development

Polydev

Integrate multiple frontier AI models to provide synthesized perspectives for coding agents and developer workflows.

API Development

Awesome Agent Skills

Provides over 100 curated AI agent skills from leading organizations, making them accessible to Claude, GitHub Copilot, and any Model Context Protocol client.

Developer Tools

MCP Clients

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Zed

74,571

Edit code with high performance and multiplayer collaboration.

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Cline

57,513

Automates coding tasks directly within your IDE using AI, capable of creating/editing files, executing commands, and using the browser with user permission.

API Development