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Top MCP Servers to Try in 2025

7/1/2025by SkillsLLM Team

The Model Context Protocol (MCP) has become the standard way to connect AI assistants to external tools and services. Here are the most popular MCP servers you should know about in 2025.

What is MCP?

MCP (Model Context Protocol) is an open protocol that lets AI assistants interact with external tools, databases, and APIs through a standardized interface. Instead of building custom integrations for each AI assistant, developers create MCP servers that work with any MCP-compatible client.

Top MCP Servers by Category

Database Access

Postgres MCP Server — Query PostgreSQL databases directly from your AI assistant. Perfect for data exploration, schema analysis, and generating SQL queries.

SQLite MCP Server — Lightweight database access for local development and prototyping. Great for quick data analysis tasks.

Developer Tools

GitHub MCP Server — Interact with GitHub repositories, issues, pull requests, and actions. Automate your GitHub workflow without leaving your AI assistant.

Docker MCP Server — Manage containers, images, and compose files. Useful for DevOps tasks and deployment automation.

File System

Filesystem MCP Server — Enhanced file operations with search, glob patterns, and batch processing. Goes beyond basic file read/write.

Web & APIs

Fetch MCP Server — Make HTTP requests to any API. Useful for testing endpoints, fetching data, and integrating with external services.

Puppeteer MCP Server — Browser automation for web scraping, testing, and screenshot capture.

How to Use MCP Servers

Most MCP servers can be configured in your AI assistant's settings:

{
  "mcpServers": {
    "postgres": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-postgres"],
      "env": {
        "DATABASE_URL": "postgresql://..."
      }
    }
  }
}

Finding MCP Servers

Browse the MCP Servers category on SkillsLLM to discover MCP servers with security badges, star counts, and community ratings.

Building Your Own

The MCP SDK makes it straightforward to create custom servers. Check out the official MCP documentation for getting started guides and examples.