该仓库展示了使用 CrewAI 配合 MCP（模型上下文协议）通过标准化协议与外部工具和服务交互的不同方法。

🌟 精选示例

🏭 企业监管情报

** 📍 地点：** scaffolding_approach_examples/snowflake_mcp_demo/

一个生产准备的三代理系统，结合了CrewAI的多智能体编排和Snowflake的企业数据能力，构建监管情报系统。

主要功能：

• 🤖 3-代理协调：监管情报 + SEC申报分析 + 市场新闻
• 📊 Enterprise Scale：通过Snowflake MCP对372,299份SEC文件进行语义搜索
• 🎯 专业产出：投资级监管影响报告
• 🚀 生产准备：完整部署和配置示例

→ 查看详细教程

---

🚀 两种整合方法

本仓库展示了将CrewAI与MCP集成的两种不同方式：

1.🏗️ 脚手架式方法（推荐制作）

• 使用 CrewAI 项目支架和 @CrewBase 装饰器
• 结构化项目，含配置文件

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

---

🚀 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

---

🔧 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

---