Install
$ agentstack add mcp-shivamgoyal03-azure-foundry-webinar ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
AI Mastery Series: Basics to Deployment on Azure AI Foundry
Welcome to the Azure AI Foundry Agent Service Webinar Series! This repository contains all materials and code samples for each session, designed for freshers to mid-level participants.
👩🏫 Speakers & Content Owners
Meet your Microsoft MVPs in AI leading this series:
- Shivam Goyal — LinkedIn | GitHub
- Aakriti Aggarwal — LinkedIn | GitHub
- Shreya Khandelwal — LinkedIn | GitHub
📅 Agenda & Timeline
| Date | Topic | |--------------|---------------------------------------------------| | 27th June | 1st Session - Basic AI Agents + Azure AI Foundry | | 28th June | 2nd Session - Azure AI Foundry Hands-on | | 29th June | 3rd Session - MCP (prebuilt servers) + Deployment | ---
🎬 Session Recordings
📂 Repository Structure
- [
day-1/](./day-1/) — Introduction to AI Agents & Azure AI Foundry - [
day-2/](./day-2/) — Azure AI Foundry Hands-on - [
day-3/](./day-3/) — MCP & Deployment
> Note: Any code samples for each day will be found inside the respective folders, organized in subfolders such as code/ if added in the future.
📚 Resources
- Azure AI Foundry Agent Service Overview
- AI Agents for Beginners (GitHub)
- MCP For Beginners (GitHub)
- Step by Step: Create Azure AI Agent
- Join the Azure AI Discord Community to meet other learners and AI Agent Builders and ask any questions you have.
🚀 How to Use This Repo
- Navigate to the relevant day folder for session materials.
- Review the README and code samples for each day.
- Try out the code samples and follow the hands-on guides.
- Use the resource links for deeper learning.
⭐ About the Use Cases
A key part of this series is the exploration of real-world MCP (Model Context Protocol) use cases. These use cases show how Azure-based agents can solve practical problems using modular, composable architectures.
- Each use case is documented in detail in [
day-2/use-cases/](./day-2/use-cases/). - For each use case, you'll find:
- Description: What problem does the agent solve?
- Azure MCP Architecture: How does the solution leverage Azure services and MCP servers?
- Workflow & Diagrams: Visual breakdowns of agent interactions and data flow.
- Example Actions & Pseudocode: How the agent calls MCP actions.
- Resource Links: Learn more about the Azure services used.
👉 Browse all use cases: [MCP Use Cases Overview](./day-2/use-cases/README.md)
Feel free to fork this repository and use it as a learning companion throughout the webinar series!
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: ShivamGoyal03
- Source: ShivamGoyal03/Azure-Foundry-Webinar
- License: MIT
- Homepage: https://shivamgoyal03.github.io/projects/opensource/azure-foundry-webinar/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.