MCP Server Directory

What Are MCP Servers?

MCP (Model Context Protocol) servers are tools that connect AI assistants like Claude, Cursor, and other AI coding tools to external data sources, APIs, and services. They enable AI models to access real-time information, execute code, interact with databases, and perform actions beyond their base capabilities. Check out our curated collection of the best MCP servers for Cursor →

How MCP Servers Work

MCP servers act as intermediaries between AI assistants and external systems. When you ask Claude or Cursor to perform a task requiring external data, the MCP server handles the request, fetches the data, and returns it in a format the AI can understand and use.

Types of MCP Servers

• Code Completion Servers: Enhance AI coding assistants with context from your codebase, documentation, and project structure.
• API Integration Servers: Connect AI to REST APIs, GraphQL endpoints, and web services for real-time data access.
• File Management Servers: Enable AI to read, write, and organize files in your development environment.
• Data Analysis Servers: Connect AI to databases, data warehouses, and analytics tools.

Choosing the Right MCP Server

When selecting an MCP server, consider:

• IDE Compatibility: Ensure it works with Cursor, VS Code, or your preferred editor
• Use Case Match: Choose servers designed for your specific needs
• Maintenance Status: Prefer actively maintained servers with recent updates
• GitHub Activity: Higher stars and recent commits indicate quality

Popular Use Cases

1. AI-Powered Code Completion Enhance Cursor and Claude with project-specific context.
2. Automated API Testing Connect AI to your APIs for intelligent testing and debugging.
3. Database Querying Let AI write and execute SQL queries against your databases.