What is MCP?
Model Context Protocol (MCP) is an open standard that enables AI models to securely connect to various data sources and tools. With MCP, you can extend your agents’ capabilities without modifying the core SDK.MCP allows agents to access databases, APIs, file systems, and custom tools through a standardized interface.
Why Use MCP?
Extensibility
Add new capabilities without changing SDK code
Security
Controlled access to sensitive resources
Modularity
Mix and match different MCP servers
Standards-Based
Industry-standard protocol
Connecting to MCP Servers
Basic Connection
Connect to an MCP server using HTTP:Multiple MCP Servers
Connect to multiple MCP servers for different capabilities:Available MCP Tools
Once connected, agents can automatically discover and use MCP tools:Building MCP Servers
Create your own MCP server to expose custom functionality:Example: Database Tool
MCP Configuration
Authentication
Configure authentication for secure MCP connections:Timeout Configuration
Set timeouts for MCP operations:MCP Best Practices
Validate All Inputs
Validate All Inputs
Always validate inputs in your MCP tools to prevent injection attacks:
Use Connection Pooling
Use Connection Pooling
Reuse connections for better performance:
Implement Rate Limiting
Implement Rate Limiting
Protect your MCP servers from abuse:
Monitor and Log
Monitor and Log
Track MCP usage for debugging and security:
Common MCP Use Cases
Database Access
API Integration
File System Operations
Custom Business Logic
Troubleshooting
Connection Refused
Connection Refused
Ensure the MCP server is running and accessible:
Authentication Failed
Authentication Failed
Verify your authentication credentials:
Tool Not Found
Tool Not Found
Check that the tool is registered on the MCP server:
Next Steps
Tools Reference
Learn about built-in tools
API Reference
View the complete API