Integrates Microsoft Agent Framework with Azure OpenAI (GPT-4.1 deployment) to provide AI agent capabilities with tool management through the Model Context Protocol.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@ms-agentframeworkwhat's the weather in Taipei today?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
ms-agentframework
Microsoft Agent Framework + MCP Protocol
🤖 Production-ready AI Agent Server | 生產級 AI 代理伺服器
ms-agentframework 是 Microsoft Agent Framework 與 Model Context Protocol (MCP) 的生產級整合,提供 SSE/HTTP 串流傳輸。
ms-agentframework is a production-ready integration of Microsoft Agent Framework with Model Context Protocol (MCP), providing SSE/HTTP streamable transport.
🎬 示範影片 | Demo Video
示範內容 | What the demo shows:
✅ 工具自動載入與註冊 | Automatic tool loading and registration
✅ 即時查詢處理 | Real-time query processing
✅ 多工具協同使用 | Multi-tool collaboration
✅ 結果即時顯示 | Real-time result display
示範影片展示了:
✅ 工具自動載入與註冊 | Automatic tool loading and registration
✅ 即時查詢處理 | Real-time query processing
✅ 多工具協同使用 | Multi-tool collaboration
✅ 結果即時顯示 | Real-time result display
The demo showcases:
✅ Automatic tool loading and registration
✅ Real-time query processing
✅ Multi-tool collaboration
✅ Real-time result display
✨ 特色 | Features
✅ Microsoft Agent Framework - 官方 Azure OpenAI 代理框架 | Official Azure OpenAI agent framework
✅ MCP 協議 - AI 代理工具的標準協議 | Standard protocol for AI agent tools
✅ SSE 傳輸 - Server-Sent Events 即時串流 | Server-Sent Events for real-time streaming
✅ Python uv - 現代化 Python 套件管理 | Modern Python package management
✅ FastAPI - 高效能異步網頁框架 | High-performance async web framework
✅ 生產就緒 - 包含 Docker、測試、監控 | Production ready with Docker, testing, monitoring
🚀 快速開始 | Quick Start
一行命令啟動 | One-Line Startup
# 完整設置並啟動 | Complete setup and start (推薦 | Recommended)
make quickstart或分步驟執行 | Or step by step
# 1. 複製專案 | Clone repository
git clone https://github.com/jimmyliao/ms-agentframework.git
cd ms-agentframework
# 2. 一鍵設置安裝 | One-command setup
make quickstart
# 或手動分步 | Or manual steps:
# make setup # 設置環境 | Setup environment
# make install # 安裝依賴 | Install dependencies
# make run # 啟動伺服器 | Start server快速測試工具 | Quick Tool Testing
# 測試所有工具 | Test all tools
make demo-tools
# 或單獨測試 | Or test individually:
make demo-weather # 天氣工具 | Weather tool
make demo-calc # 計算器 | Calculator
make demo-stock # 股票查詢 | Stock price伺服器端點 | Server Endpoints
SSE 端點 | SSE Endpoint:
http://localhost:8000/sse訊息端點 | Messages Endpoint:
http://localhost:8000/messages健康檢查 | Health Check:
http://localhost:8000/healthAPI 文件 | API Docs:
http://localhost:8000/docs
📐 架構 | Architecture
MCP-MAF 實作三層架構 | MCP-MAF implements a three-layer architecture:
獨立代理 | Standalone Agent - 直接使用代理進行測試 | Direct agent usage for testing
遠端 MCP (SSE) | Remote MCP (SSE) - 生產伺服器模式 ⭐ | Production server mode ⭐
STDIO MCP - CLI 整合模式(可選)| CLI integration mode (optional)
┌──────────────────────────────────┐
│ Codex CLI / Gemini CLI │
│ (MCP 客戶端 | MCP Client) │
└────────────┬─────────────────────┘
│ HTTP/SSE
↓
┌──────────────────────────────────┐
│ MCP-MAF Server (FastAPI) │
│ - SSE Transport │
│ - JSON-RPC 2.0 Protocol │
└────────────┬─────────────────────┘
│
↓
┌──────────────────────────────────┐
│ Microsoft Agent Framework │
│ - Azure OpenAI GPT-4.1 │
│ - Tool Management │
└────────────┬─────────────────────┘
│
↓
┌──────────────────────────────────┐
│ MCP 工具 | MCP Tools │
│ - Weather Tool │
│ - Calculator Tool │
│ - Stock Price Tool │
└──────────────────────────────────┘🛠️ 開發 | Development
# 安裝開發依賴 | Install dev dependencies
make install-dev
# 執行測試 | Run tests
make test
# 執行測試(含覆蓋率)| Run with coverage
make test-cov
# Lint 程式碼 | Lint code
make lint
# 格式化程式碼 | Format code
make format
# 開發伺服器(熱重載)| Development server (hot reload)
make dev🐳 Docker
# 建置映像 | Build image
make docker-build
# 執行容器 | Run container
make docker-run
# 或使用 Docker Compose | Or use Docker Compose
make docker-up
make docker-down📚 文件 | Documentation
🔌 Codex CLI 整合 | Codex CLI Integration
配置方式 | Configuration
編輯 Claude Desktop 配置檔 | Edit Claude Desktop config:
路徑 | Path: ~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"mcp-maf": {
"command": "uv",
"args": [
"--directory",
"/Users/jimmyliao/workspace/mcp-maf",
"run",
"uvicorn",
"mcp_maf.server:app",
"--host",
"0.0.0.0",
"--port",
"8000"
]
}
}
}使用方式 | Usage
# 測試連接 | Test connection
# 重啟 Claude Desktop 後工具將自動可用
# Tools will be available automatically after restarting Claude Desktop
# 使用範例 | Usage examples
# 在 Claude Desktop 中:| In Claude Desktop:
# "查詢台北天氣" | "What's the weather in Taipei?"
# "計算 123 * 456" | "Calculate 123 * 456"
# "查詢台積電股價(2330)" | "What's TSMC (2330) stock price?"📖 使用範例 | Usage Examples
獨立代理 | Standalone Agent
from mcp_maf import MCPMAFAgent
agent = MCPMAFAgent(
azure_endpoint="your-endpoint",
api_key="your-key",
deployment_name="gpt-4.1"
)
await agent.initialize()
# 繁中範例 | Chinese example
response = await agent.run("台北的天氣如何?")
print(response)
# 英文範例 | English example
response = await agent.run("What's the weather in Taipei?")
print(response)SSE 客戶端 | SSE Client
import httpx
import json
async with httpx.AsyncClient() as client:
async with client.stream('GET', 'http://localhost:8000/sse') as response:
async for line in response.aiter_lines():
if line.startswith('data:'):
data = json.loads(line[5:]) # 移除 'data:' 前綴 | Remove 'data:' prefix
print(data)🧪 測試 | Testing
# 執行所有測試 | Run all tests
make test
# 含覆蓋率報告 | With coverage report
make test-cov
# 執行特定測試檔案 | Run specific test file
uv run pytest tests/unit/test_protocol.py -v
# 監視模式 | Watch mode
make test-watch📋 可用工具 | Available Tools
🌤️ 天氣工具 | Weather Tool
取得任何地點的即時天氣資訊。| Get current weather information for any location.
用法 | Usage: get_weather(location: str)
範例 | Examples:
繁中:
"台北的天氣如何?"English:
"What's the weather in Taipei?"
🧮 計算機工具 | Calculator Tool
執行數學運算。| Perform mathematical calculations.
用法 | Usage: calculate(expression: str)
範例 | Examples:
繁中:
"計算 123 乘以 456"English:
"Calculate 123 * 456"
📊 股票價格工具 | Stock Price Tool
查詢台灣證券交易所股票價格。| Query Taiwan stock prices from TWSE.
用法 | Usage: get_stock_price(stock_code: str)
範例 | Examples:
繁中:
"台積電(2330)的股價是多少?"English:
"What's TSMC (2330) stock price?"
支援的股票 | Supported Stocks:
2330 - 台積電 | TSMC
2454 - 聯發科 | MediaTek
2317 - 鴻海 | Hon Hai (Foxconn)
更多... | And more...
🔧 配置 | Configuration
環境變數在 .env 中配置 | Environment variables are configured in .env:
# Azure OpenAI(已配置)| Azure OpenAI (already configured)
AZURE_OPENAI_ENDPOINT=https://msfoundry-jimmyliao.openai.azure.com/
AZURE_OPENAI_API_KEY=***
AZURE_AI_MODEL_DEPLOYMENT_NAME=gpt-4.1
# 伺服器 | Server
SERVER_HOST=0.0.0.0
SERVER_PORT=8000
LOG_LEVEL=INFO📊 技術棧 | Tech Stack
核心技術 | Core Technologies
Python 3.11+ - 現代 Python | Modern Python
uv - 快速套件管理器 | Fast package manager
FastAPI - 異步網頁框架 | Async web framework
Uvicorn - ASGI 伺服器 | ASGI server
AI 與雲端 | AI & Cloud
Microsoft Agent Framework - Azure AI 代理 | Azure AI agents
Azure OpenAI - GPT-4.1 部署 | GPT-4.1 deployment
OpenAI SDK - 後備 SDK | Fallback SDK
協議與傳輸 | Protocol & Transport
MCP (Model Context Protocol) - 2024-11-05 規範 | 2024-11-05 spec
JSON-RPC 2.0 - 遠端程序調用 | Remote procedure calls
SSE (Server-Sent Events) - 即時串流 | Real-time streaming
🤝 貢獻 | Contributing
歡迎貢獻!請閱讀 CONTRIBUTING.md 了解詳情。
Contributions are welcome! Please read CONTRIBUTING.md for details.
📄 授權 | License
MIT 授權 - 詳見 LICENSE 檔案。
MIT License - see LICENSE for details.
🙏 致謝 | Acknowledgments
Microsoft Agent Framework - 微軟代理框架 | Microsoft's agent framework
Model Context Protocol - MCP 協議規範 | MCP protocol specification
FastAPI - 現代網頁框架 | Modern web framework
Agent Lucy - 參考實作 | Reference implementation
📞 支援 | Support
問題回報 | Issues: GitHub Issues
討論區 | Discussions: GitHub Discussions
📈 專案狀態 | Project Status
✅ 已完成 | Completed:
基礎架構 | Core architecture
MCP 協議實作 | MCP protocol implementation
SSE 傳輸層 | SSE transport layer
三個範例工具 | Three example tools
Docker 支援 | Docker support
完整測試 | Complete testing
文件撰寫 | Documentation
🚧 計劃中 | Planned:
STDIO 傳輸 | STDIO transport
更多工具 | More tools
CI/CD 管道 | CI/CD pipeline
效能優化 | Performance optimization
版本 | Version: 1.0.0 作者 | Author: Jimmy Liao 用 ❤️ 打造 | Built with ❤️ 使用 | using Microsoft Agent Framework and MCP Protocol
Co-Authored-By: Agent-Lucy hi@leapdesign.ai
This server cannot be installed
Resources
Looking for Admin?
Admins can modify the Dockerfile, update the server description, and track usage metrics. If you are the server author, to access the admin panel.