이 저장소는 **디퍼런스 접근 ** for use CrewAI with MCP (Model Context Protocol) 표준 프로토콜을 통해 외부 도구 및 서비스와 상호 작용합니다.

!특징 예

기업 규제 정보

** [T0]]

A production-ready 3-agent system는 Snowflake의 엔터프라이즈 데이터 기능을 사용하여 CrewAI의 다중 시약 관현을 결합하여 규제 인텔리전스 시스템을 구축합니다.

** 키 기능:**

• LOG 3-Agent Coordination: 규제 정보 + SEC 분석 + 시장 뉴스
• Snow Enterprise Scale: Snowflake MCP를 통해 372,299 SEC 서류를 통해 Semantic 검색
• **Professional 산출 **: 투자 급료 규제 충격 보고서
• ♨Production Ready: 완전한 배포 및 구성 예제

→ 상세 자습서보기

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♨ 2개의 통합 접근법

이 저장소는 ** 두 가지 다른 방법을 보여줍니다 ** MCP와 CrewAI 통합:

##1 ️Scaffolding Approach (제작에 대한 권장)

• CrewAI의 프로젝트 비계 사용 @CrewBase 장식
• 구성 파일이있는 Structured 프로젝트

CrewAI MCP Demo

This repository demonstrates different approaches for using CrewAI with MCP (Model Context Protocol) to interact with external tools and services through a standardized protocol.

🌟 Featured Examples

🏭 Enterprise Regulatory Intelligence

📍 Location: scaffolding_approach_examples/snowflake_mcp_demo/

A production-ready 3-agent system that combines CrewAI’s multi-agent orchestration with Snowflake’s enterprise data capabilities to build regulatory intelligence systems.

Key Features:

• 🤖 3-Agent Coordination: Regulatory Intelligence + SEC Filing Analysis + Market News
• 📊 Enterprise Scale: Semantic search across 372,299 SEC filings via Snowflake MCP
• 🎯 Professional Output: Investment-grade regulatory impact reports
• 🚀 Production Ready: Complete deployment and configuration examples

→ View Detailed Tutorial

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🚀 Two Integration Approaches

This repository demonstrates two different ways to integrate CrewAI with MCP:

1. 🏗️ Scaffolding Approach (Recommended for Production)

• Uses CrewAI’s project scaffolding with @CrewBase decorator
• Structured project with configuration files
• Built-in get_mcp_tools() method (CrewAI 0.134.0+)
• Better for complex, maintainable applications

Examples:

• Snowflake Enterprise Demo - Regulatory intelligence system
• Mathematician Project - Math operations via local StdIO server
• Context7 Integration - Document search via streamable-HTTP

2. 📝 Script Approach (Great for Learning/Prototyping)

• Standalone Python scripts using MCPServerAdapter directly
• Quick to set up and experiment with
• Perfect for understanding MCP concepts

Examples:

• stdio_client_demo.py - Math operations
• sse_client_demo.py - Cloudflare docs search
• streamable_http_client_demo.py - Simple greeting
• multiple_servers_client_demo.py - Combined functionality

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🔧 Transport Mechanisms

Streamable HTTP ⭐ (Recommended)

• Use case: Remote hosted servers (Context7, cloud services)
• Benefits: Simple setup, bidirectional communication, web-friendly
• Example: Snowflake MCP, Context7 API

Server-Sent Events (SSE)

• Use case: Real-time server-to-client updates
• Benefits: Good for streaming responses, widely supported
• Example: Cloudflare docs, real-time data feeds

Standard Input/Output (StdIO)

• Use case: Local development, testing, process-based servers
• Benefits: Simple local setup, no network required
• Example: Local math server, file processing tools

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