Python + MCP: From local to production

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Python + MCP: From local to production

加入 Microsoft Reactor 並與開發人員即時互動

準備好開始使用 AI 和最新技術嗎？ Microsoft Reactor 提供活動、訓練和社群資源，協助開發人員、企業家和初創公司建置 AI 技術等等。加入我們！

格式:
線上直播

主題: 程式設計、語言與架構

語言: 英文

此系列中的活動:
3

The Python + MCP series is a three-part, hands-on journey into one of the most important emerging technologies of 2025: MCP (Model Context Protocol) — an open standard for extending AI agents and chat interfaces with real-world tools, data, and execution environments.

Whether you're building custom GitHub Copilot tools, powering internal developer agents, or creating AI-augmented applications, MCP provides the missing interoperability layer between LLMs and the systems they need to act on.

Across the series, we move from local prototyping, to cloud deployment, to enterprise-grade authentication and security, all powered by Python and the FastMCP SDK. Each session builds on the last, showing how MCP servers can evolve from simple localhost services to fully authenticated, production-ready services running in the cloud — and how agents built with frameworks like LangGraph and Microsoft’s agent-framework can consume them at every stage.

⏰ Join the Office Hours in Discord after each session
🔎 For an intro to MCP, check out the MCP-for-beginners course on GitHub

Esta serie también está disponible en español, ¡suscríbete!

演講者

Pamela Fox
- Principal Cloud Advocate in Python
Microsoft

此系列中過去的活動

時區 - 國際標準時間

12月

星期二

2025

Building MCP servers with FastMCP

6:00 下午 - 7:00 下午 (UTC)

In the intro session of our Python + MCP series, we dive into the hottest technology of 2025: MCP (Model Context Protocol). This open protocol makes it easy to extend AI agents and chatbots with custom functionality, making them more powerful and flexible. We demonstrate how to use the Python FastMCP SDK to build an MCP server running locally and consume that server from chatbots like GitHub Copilot. Then we build our own MCP client to consume the server. Finally, we discover how easy it is to connect AI agent frameworks like Langchain and Microsoft agent-framework to MCP servers. ⏰ Join the Office Hours in Discord after each session 🔎 For an intro to MCP, check out the MCP-for-beginners course on GitHub

格式:
線上直播

主題: 程式設計、語言與架構

語言: 英文

隨選檢視

12月

星期三

2025

Deploying MCP servers to the cloud

6:00 下午 - 7:00 下午 (UTC)

In our second session of the Python + MCP series, we're deploying MCP servers to the cloud! We'll walk through the process of containerizing a FastMCP server with Docker and deploying to Azure Container Apps, and also demonstrate a FastMCP server running directly on Azure Functions. Then we'll explore private networking options for MCP servers, using virtual networks that restrict external access to internal MCP tools and agents. ⏰ Join the Office Hours in Discord after each session 🔎 For an intro to MCP, check out the MCP-for-beginners course on GitHub

格式:
線上直播

主題: 程式設計、語言與架構

語言: 英文

隨選檢視

12月

星期四

2025

Authentication for MCP servers

6:00 下午 - 7:00 下午 (UTC)

In our third session of the Python + MCP series, we're exploring the best ways to build authentication layers on top of your MCP servers. That could be as simple as an API key to gate access, but for the servers that provide user-specific data, we need to use an OAuth2-based authentication flow. MCP authentication is built on top of OAuth2 but with additional requirements like PRM and DCR/CIMD, which can make it difficult to implement fully. In this session, we'll demonstrate the full MCP auth flow, and provide examples that implement MCP Auth on top of Microsoft Entra. ⏰ Join the Office Hours in Discord after each session 🔎 For an intro to MCP, check out the MCP-for-beginners course on GitHub