Getting Started with MCP
Learn how to discover, install, and use Model Context Protocol servers
The Model Context Protocol (MCP) is an open standard that enables AI assistants to connect to external data sources and tools through a unified interface. It allows AI models to access real-time information, perform actions, and interact with various services seamlessly.
Connect
Link AI to external data sources
Execute
Perform real-time actions
Integrate
Unified interface for tools
Discover Servers
Browse our directory to find MCP servers that match your needs. Use the search functionality to filter by category, tags, or specific features.
Browse ServersInstall a Server
Choose a server and follow the installation instructions. Most servers can be installed via npm, pip, or direct download from GitHub.
npm install @mcp/server-filesystemConfigure Your Client
Set up your MCP client to connect to the server. This typically involves configuring the server path and any required authentication.
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": ["@mcp/server-filesystem"]
}
}
}Start Using
Once connected, your AI assistant can now access the server's capabilities. Try asking it to perform tasks that the server supports.
File System MCP
Access and manipulate files on your local system through MCP
Web Search MCP
Search the web and retrieve real-time information
Database MCP
Connect to databases and perform SQL operations
Code Generation MCP
Generate and analyze code across multiple languages
Security
- • Only install servers from trusted sources
- • Review server permissions before installation
- • Keep servers updated to latest versions
- • Use environment variables for sensitive data
Performance
- • Start with essential servers only
- • Monitor server resource usage
- • Use connection pooling for databases
- • Implement proper error handling