Join Us for an AMA on Improving Your MCP Servers with Azure API Management
What Will We Cover? In this interactive AMA, you'll learn how to: Expose Azure API Management instances as MCP servers, enabling remote access to your APIs using AI combined with Model Context Protocol. Configure API Management policies to enhance your MCP servers with enterprise-grade capabilities such as rate limiting, authentication, and centralized monitoring. Why This Matters Model Context Protocol (MCP) bridges the gap between AI agents and the real-world data they need to be effective. By integrating MCP with Azure API Management, developers can expose tools to their AI agents while enforcing consistent policies and security standards. Whether you’re deploying custom tools or remote services, this AMA will show you how Azure API Management can be your go-to platform for controlling and scaling MCP access. How to Join Register to Join the Azure AI Foundry Discord Community Event See the events channel 📅 Monday, July 21st, 2025 ⏰ 10:00 AM Pacific Time (UTC−07:00) Event Highlights Learn how to expose MCP servers through Azure API Management See how to configure and test policies such as rate limiting Get answers directly from Microsoft product managers and engineers Connect with fellow developers building with MCP, Azure API Management, and Azure AI Foundry Get a Head Start Before the event, check out the documentation to learn how to Expose a REST API in API Management as an MCP server, view the Build and protect MCPs faster with governance in Azure API Manager session from Build 2025, or explore the AI-Gateway labs on GitHub and learn how to use APIM and MCP in the MCP for Beginners course. Don’t miss this opportunity to deepen your understanding of API Management and MCP integration—and get your questions answered live!The Adecco Group’s AI skill-building strategy powers talent, client impact
AI’s rapid evolution is reshaping how work gets done, and that means it’s also transforming the job market. The Adecco Group, a global leader in workforce solutions that supports more than 100,000 companies in over 60 countries and regions, understands firsthand the increasing demand for AI skills. The company recognizes a clear need to skill up for and adopt AI pervasively. This applies not only internally to improve its own business operations but also externally to help its job seekers and candidates build the AI skills needed to remain relevant in today’s labor market. With this dual challenge in mind, The Adecco Group launched a comprehensive AI strategy that focused on four key areas: sales and demand generation, operational efficiency, product development, and customer experience. The company incorporated this strategy into its overall learning culture, embedding AI across operations to automate tasks and equipping employees with the skills to apply AI effectively in daily work and client interactions. The results are significant. Recruiters have increased productivity by 63%, the company’s AI-driven CV Maker has generated more than 200,000 résumés, and 30,000 employees have completed responsible AI training. Microsoft 365 Copilot has helped the company to streamline internal operations, particularly in recruitment and administrative tasks, freeing time for more strategic work. The Adecco Group remains committed to leading the way with AI skill-building, helping to ensure that its workforce is prepared for the opportunities ahead. To find out how The Adecco Group’s success can inspire your organization, read the new case study, The Adecco Group’s AI skilling strategy fuels productivity with Microsoft Copilot.Register for the Cloud and AI Platforms FY26 Partner Playbook Walkthrough
Join us live on July 24, 2025, at 8:00 AM Pacific Time or 5:00 PM Pacific Time to learn about the exciting go-to-market (GTM) priorities and initiatives planned for FY26 across the Cloud and AI platforms solutions area, aligned to the System Integrator partner audience. We are excited to invite you to an exclusive session where we will unveil the FY26 Cloud & AI Platform Partner Playbook. This comprehensive guide is designed to help you leverage Microsoft's latest investments and strategies to grow your business and enhance customer engagement. What to Expect: Business Overview: Gain insights into the FY26 investments and strategic priorities. Customer Opportunities: Understand the growth drivers and market opportunities for FY26. Solution Plays: Learn how to migrate and modernize your estate, innovate with Azure AI apps and agents, and unify your data platform. Partner Skilling: Discover opportunities for partner skilling and certifications to enhance your capabilities. Why Attend? Exclusive Insights: Get a detailed overview of the playbook and how it can benefit your business. Interactive Sessions: Participate in discussions and Q&A sessions to address your specific needs and questions. We look forward to your participation and collaboration in driving mutual growth and success. Please register now to secure your spot. Can’t attend the live event? Register anyway to get notified when the event content is available on demand. Register here for the morning or evening session!
Free course: Unlocking AI for Nonprofits
With support from Microsoft, NetHope has launched a new free, CPD-certified course series - Unlocking AI for Nonprofits - designed specifically for nonprofit professionals. The series will help nonprofit teams build practical and responsible AI skills, no technical background required. The four learning pathways include: AI Basics – Learn what AI is and why it matters for nonprofits Applications of Generative AI – Explore time-saving tools for content, reporting, and data Advanced Applications: Microsoft Copilot and Beyond – Help your team adopt AI with clarity and confidence Responsible Use of AI – Understand ethics, inclusion, and organizational safeguards We’ve had more than 1,000 enrollments across the series to date – don't miss out! Courses are free and available through August 31, 2025. https://nethope.org/programs/unlocking-ai-for-nonprofits-enroll-in-our-new-ai-skills-course-for-nonprofits/?utm_medium=forum&utm_source=microsoftnonprofit&utm_campaign=msaiskillsjul&utm_content=unlockingaiSwagger Auto-Generation on MCP Server
Would you like to generate a swagger.json directly on an MCP server on-the-fly? In many use cases, using remote MCP servers is not uncommon. In particular, if you're using Azure API Management (APIM), Azure API Center (APIC) or Copilot Studio in Power Platform, integrating with remote MCP servers is inevitable.
AI in IDD
Here is a little bout how I am using AI in IDD. Our licensed Co-Pilot, has proven to be incredibly productive and time-saving, especially in reviewing documents for errors against regulations, identifying discrepancies between various care plans for the same individual, analyzing and summarizing documents for relevant information in investigations (reducing the closure time from 90 days to 7), suggesting corrective actions for internal/external audits, trending data sets (such as surveys, assessments, and audits), and proposing opportunities and solutions in light of the regulations. AI can audit documents, policies, and procedures with extreme accuracy against 6400 and 6100 regulations (PA regs). We have recently implemented this solution to streamline and audit our Medicaid billing process prior to submission. It enables us to identify billing errors, uncover unbilled days we should be billing for, and flag days we should not be billing - significantly reducing the time required for this process from 30 hours to 4 for a months' worth of billing. For systems that are not directly compatible with AI integration, we leverage AI to develop macros that process raw data exports. This allows us to extract precisely the information we need in seconds, rather than spending hours on manual analysis.
CampusSphere: Building the Future of Campus AI with Microsoft's Agentic Framework
Project Overview We are a team of Imperial College Students committed to improving campus life through innovative multi-agent solutions. CampusSphere leverages Microsoft Azure AI capabilities to automate core university campus services. We created an end-to-end solution that allows both students and staff to access a multi-agent framework for room/gym booking, attendance tracking, calendar management, IoT monitoring and more. 🔭 Our Initial Vision: Reimagining Campus Technology When our team at Imperial College London embarked on the CampusSphere project as part of Microsoft's Agentic Campus initiative, we had one clear ambition: to create an intelligent campus ecosystem that would fundamentally change how students, faculty, and staff interact with university services. The inspiration came from a simple observation—despite living in an age of advanced AI, campus technology remained frustratingly fragmented. Students juggled multiple portals for course registration, room booking, dining services, and academic support. Faculty members navigated separate systems for teaching, research, and administrative tasks. The result? Countless hours wasted on mundane navigation tasks that could be better spent on learning, teaching, and innovation. Our vision was ambitious: create a single, intelligent interface that could understand natural language, anticipate user needs, and seamlessly integrate with existing campus infrastructure. We didn't just want to build another campus app—we wanted to demonstrate how Microsoft's agentic AI technologies could create a truly intelligent campus companion. 🧠 Enter CampusSphere CampusSphere is an intelligent campus assistant made up of multiple AI agents, each with a specific domain of expertise — all communicating seamlessly through a centralized architecture. Think of it as a digital concierge for campus life, where your calendar, attendance, IoT data, and facility bookings are coordinated by specialized GPT-powered agents. Here’s what we built: TriageAgent – the brain of the system, using Retrieval-Augmented Generation (RAG) to understand user intent CalendarAgent – handles scheduling, bookings, and reminders AttendanceAgent – tracks check-ins automatically IoTAgent – monitors real-time sensor data from classrooms and labs GymAgent – manages access and reservations for sports facilities 30+ MCP Tools – perform SQL queries, scrape web data, and connect with external APIs All of this is built on Microsoft Azure AI, Semantic Kernel, and Model Context Protocol (MCP) — making it scalable, secure, and lightning fast. 🖥️ The Tech Stack Our Azure-powered architecture showcases a modular and scalable approach to real-time data processing and intelligent agent coordination. The frontend is built using React with a Vite development server, providing a fast and responsive user interface. When users submit a prompt, it travels to a Flask backend server acting as the Triage agent, which intelligently delegates tasks to a FastAPI agent service. This FastAPI service asynchronously communicates with individual agents and handles responses efficiently. Complex queries are routed to MCP Tools, which interact with the CosmosDB-powered Campus Database. Simultaneously, real-time synthetic IoT data is pushed into the database via Azure Function Apps and Azure IoT Hub. Authentication is securely managed: users log in through the frontend, receive a token from the database API server, and use it for authorized access to MCP services, with permissions enforced based on user roles using our custom MCP server implementation. This robust architecture enables seamless integration, real-time data flow, and secure multi-agent collaboration across Azure services. Our system leverages a multi-agent architecture designed to intelligently coordinate task execution across specialized services. At the core is the TriageAgent, which uses Retrieval-Augmented Generation (RAG) to interpret user prompts, enrich them with relevant context, and determine the optimal response path. Based on the nature of the request, it may handle the response directly, seek clarification, or delegate tasks to specific agents via FastAPI. Each specialized agent has a clearly defined role: AttendanceAgent: Interfaces with CosmosDB-backed FastAPI endpoints to check student attendance, using filters like event name, student ID, or date. IoTAgent: Monitors room conditions (e.g., temperature, CO₂ levels) and flags anomalies using real-time data from Azure IoT Hub, processed via FastAPI. CalendarAgent: Handles scheduling, availability checks, and event creation by querying or updating CosmosDB through FastAPI. Future integration with Microsoft Graph API is planned for direct calendar syncing. Gym Slot Agent: Checks available times for gym sessions using dedicated MCP tools. The triage agent serves as the orchestrator, breaking down complex requests (like "Book a gym session") into subtasks. It consults relevant agents (e.g., calendar and gym slot agents), merges results, and then confirms the final action with the user. This distributed and asynchronous workflow reduces backend load and enhances both responsiveness and reliability of the system. 🔮 What’s Next? Integrating CampusSphere with live systems via Microsoft OAuth is crucial for enhancing its capabilities. This integration will grant the agent authenticated access to a wider range of student data, moving beyond synthetic datasets. This expanded access to real-world information will enable deeply personalized advice, such as tailored course selection, scholarship recommendations, event suggestions, and deadline reminders, transforming CampusSphere into a sophisticated, proactive personal assistant. 🤝Meet the Team Behind CampusSphere Our success stemmed from a diverse team of innovators who brought together expertise from multiple domains: Benny Liu - https://www.linkedin.com/in/zong-benny-liu-393a4621b/ Lucas Ng - https://www.linkedin.com/in/lucas-ng-11b317203/ Lu Ju - https://www.linkedin.com/in/lu-ju/ Bruno Duaso - https://www.linkedin.com/in/bruno-duaso-jimeno-744464262/ Martim Coutinho - https://www.linkedin.com/in/martim-pereira-coutinho-116308233/ Krischad Pourpongpan - https://www.linkedin.com/in/krischadpua/ Yixu Pan - https://www.linkedin.com/in/yixu-pan/ Our collaborative approach enabled us to create a sophisticated agentic AI system that demonstrates the powerful potential of Microsoft's AI technologies in educational environments. 🧑💻 Project Repository: GitHub - Imperial-Microsoft-Agentic-Campus/CampusSphere Contribute to Imperial-Microsoft-Agentic-Campus/CampusSphere development by creating an account on GitHub. github.com Have questions about implementing similar solutions at your institution? Connect with our team members on LinkedIn—we're always excited to share knowledge and collaborate on innovative campus technology projects. 📚Get Started with Microsoft's AI Tools Ready to explore the technologies that made CampusSphere possible? Here are essential resources: Microsoft Semantic Kernel: The core framework for building AI agent orchestration systems. Learn how to create, coordinate, and manage multiple AI agents working together seamlessly. AI Agents for Beginners: A comprehensive guide to understanding and building AI agents from the ground up. Perfect for getting started with agentic AI development. Model Context Protocol (MCP): Learn about the protocol that enables secure connections between AI models and external tools and services—essential for building integrated AI systems. Windows AI Toolkit: Microsoft's toolkit for developing AI applications on Windows, providing local AI model development capabilities and deployment tools. Azure Container Apps: Understand how to deploy and scale containerized AI applications in the cloud, perfect for hosting multi-agent systems. Azure Cosmos DB Security: Essential security practices for managing data in AI applications, covering encryption, access control, and compliance.Impariamo a conoscere MCP: Introduzione al Model Context Protocol (MCP)
Non perderti il prossimo evento “Let’s Learn – MCP” su Microsoft Reactor il 24 di Luglio, pensato per chiunque voglia conoscere meglio il nuovo standard per agenti intelligenti (il Model Context Protocol) e imparare a metterlo in pratica. La sessione è in Italiano e le demo sono in Python, ma fa parte di una serie di live-streaming disponibili in tantissime lingue.August Calendar is here!
🌟 Community Spirit? CHECKED! 🌍 Amazing Members & Audiences? DOUBLE CHECK! 🎤 Phenomenal Speakers Locked In? CHECKED! 🚀 Global Live Sessions? YOU BET! The stage is set. The excitement is real. It’s that time again, time to ignite the community with another monthly calendar! 🔥✨ We’ve lined up a powerhouse of sessions packed with world-class content, covering the best of Microsoft, from Coding, Cloud, Migration, Data, Security, AI, and so much more! 💻☁️🔐🤖 But wait, that’s not all! For the first time ever, we’ve smashed through time zones! No matter where you are in the world, you can tune in LIVE and learn from extraordinary speakers sharing their insights, experiences, and passion. 🌏⏰ What do you need to do? It’s easy: 👉 Register for the sessions 👉 Mark your calendar 👉 Grab your coffee, tea, or ice-cold soda 👉 Join us and soak up the knowledge! We believe in what makes this community truly special, and that’s YOU. Let’s set August on fire together! 🔥 Are you ready to be inspired, to grow, and to connect with Microsoft Learn family? Don’t miss out, August is YOUR month! 💥🙌 📢 Shehan Perera 📖 Let There Be Cloud-Native Endpoints 📅 5 Aug 2025 (19:00 AEST) (11:00 CEST) 📢Shahab Ganji 📖 Create a Tic Tac Toe game and learn about Event Sourcing 📅 8 Aug 2025 18:00 CEST 📢 Ronak Vachhani 📖Data Intelligence at Your Fingertips: Fabric’s AI Functions & Data Agents 📅16 Aug 2025 (16:00 AEST) (08:00 CEST) 📢Laïla Bougriâ 📖Change is inevitable: versioning event-driven systems 📅22 Aug 2025 18:00 CEST 📢AJ Bajada 📖Revolutionising DevOps with AI: From Pipelines to Deployment 📅28 Aug 2025 (19:30 AEST) (11:30 CEST) 📢James Eastham 📖So, You Want To Build An Event Driven System? 📅29 Aug 2025 17:00 CEST
Want to enable and use Interpreter agent
According to this article: Discover new agents in Microsoft 365 innovation | Microsoft Community Hub Interpreter is now available in public preview. It links to the the following guide: https://support.microsoft.com/en-us/office/interpreter-in-microsoft-teams-meetings-c7efe2bb-535d-42ab-a5c4-d2d91619b46d I am in public preview on my Mac desktop Teams client. Version is 25107.xxxx which looks like it's a Citrix/VDI version. I pulled the download from the official MS page for a fresh install and the version is the same. Not sure if that makes any difference but that's the version. How do I enable Interpreter agent for my scheduled meeting?
