MCP Integration API

Tool integration via Model Context Protocol

This document covers AgenticGoKit's MCP (Model Context Protocol) integration API, which enables agents to discover, connect to, and use external tools and services. MCP provides a standardized way to integrate with various tools, from web search to database operations.

📋 Core Concepts

MCP Overview

MCP (Model Context Protocol) is a protocol for connecting AI agents with external tools and services. AgenticGoKit provides comprehensive MCP integration with three levels of complexity:

• Basic MCP: Simple tool discovery and execution
• Enhanced MCP: Caching and performance optimization
• Production MCP: Enterprise-grade features with monitoring and scaling

🚀 Basic Usage

Quick Start with MCP

// Initialize MCP with automatic discovery
err := core.QuickStartMCP()
if err != nil {
    panic(fmt.Sprintf("Failed to initialize MCP: %v", err))
}

// Create an MCP-aware agent
llmProvider, err := core.NewOpenAIProvider()
if err != nil {
    panic(fmt.Sprintf("Failed to create LLM provider: %v", err))
}

agent, err := core.NewMCPAgent("assistant", llmProvider)
if err != nil {
    panic(fmt.Sprintf("Failed to create MCP agent: %v", err))
}

For complete documentation including server discovery, caching, production deployment, and custom tool development, see the Agent API reference.