Project: Enterprise Agents - Whatever AI Assistant (WAIA)

Track

Enterprise Agents (M365 Agents Toolkit)

Project Name

Whatever AI Assistant (WAIA)

GitHub Username

@FranckyC

Repository URL

https://github.com/FranckyC/agents-league-whatever-ai-assistant

Project Description

A production-ready, extensible multi-agent system for Microsoft 365 Copilot Chat and Microsoft Teams. It showcases a flexible pattern for common cross-domain company agents (IT and HR here as an example), covering both question-and-answer scenarios (RAG pattern) and action automation (e.g., IT ticket submission). Built with Microsoft Foundry Agent Service, Microsoft 365 Agents SDK, and a custom MCP server.

Key Highlights

Feature	Description
Multi-Agent Routing	A workflow agent routes queries to specialized HR, IT, or Fallback agents — transparently to the user
Streaming Responses	OpenAI Responses API + Teams streaming for a smooth conversational experience
MCP Server with OAuth	Custom MCP server secured via OAuth Identity Passthrough — delegated permissions only
Read & Write MCP Tools	copilot_retrieval for SharePoint knowledge retrieval via the Copilot Retrieval API · submit_ticket for IT ticket submission in a SharePoint list
Adaptive Cards	Debug card, ticket form, disclaimer, and MCP tool approval — all as rich interactive cards
Custom Disclaimer	Dynamic Adaptive Card disclaimer on first interaction or new chat sessions
Human in the Loop	MCP tool approval flow via dynamic Adaptive Cards
Built-in Debug Mode	/debug on|off command to inspect agent reasoning directly in Teams/Copilot
OpenTelemetry	Telemetry integration for MCP tool calls, responses, and errors — visible in the Foundry portal
Citations	Proper handling of agent references for both Teams and Copilot experiences

Demo Video or Screenshots

Demo video: https://youtu.be/LGkXO8tr1Fg
Screenshots: https://whatever-ai-assistant-docs.azurewebsites.net/

Primary Programming Language

TypeScript/JavaScript

Key Technologies Used

• Microsoft Foundry Agent Service with workflow agent
• Model Context Protocol with OAuth Identity Passthrough
• Microsoft 365 Copilot
• Microsoft Graph (Copilot Retrieval API and SharePoint)
• TypeScript/Node.js
• Microsoft 365 Agents SDK and CLI
• Bicep templates and Azure deployment stack
• Docusaurus :D

Submission Type

Individual

Team Members

No response

Submission Requirements

• My project meets the track-specific challenge requirements
• My repository includes a comprehensive README.md with setup instructions
• My code does not contain hardcoded API keys or secrets
• I have included demo materials (video or screenshots)
• My project is my own work with proper attribution for any third-party code
• I agree to the Code of Conduct
• I have read and agree to the Disclaimer
• My submission does NOT contain any confidential, proprietary, or sensitive information
• I confirm I have the rights to submit this content and grant the necessary licenses

Quick Setup Summary

Steps (high level)

1. Install prerequisites
2. Prepare the data
3. Deploy infrastructure in Azure
4. Configure MCP in Foundry
5. Set up agents in Foundry
6. Package and upload the Teams app
7. Talk to the agent

Full getting started procedure available here: https://whatever-ai-assistant-docs.azurewebsites.net/getting-started/

Technical Highlights

• Leveraging custom MCP server (along the bot logic, reusing the same M365 Agents Toolkit development tooling) with Foundry Agent Service OAuth Identity Passthrough to call Microsoft Graph API using user identity (delegated).
• Flexible architecture
• Agent flow integration with Adaptive Cards for authentication and MCP tool approval prompts.
• Usage of custom prompt marker to send forms from Teams/Copilot channel and pass the data back to agent.
• Debug mode to inspect agent output right from the Teams or Copilot channel.
• Replicable end-to-end automated deployment to use the solution in any Azure environement.

Challenges & Learnings

• Integrate agent LLM flow with Teams/Copilot experience (adaptive cards, dialog loops, etc.).
• MCP tools/Agent prompts crafting to get a reliable path.

More info about challenges and strategies here: https://whatever-ai-assistant-docs.azurewebsites.net/dev-notes

Contact Information

franck.cornu@outlook.com

Country/Region

Canada

Start with the linked repository's README.md and the getting-started documentation to understand the TypeScript/Node.js deployment. Review the Azure, Foundry Agent Service, MCP, and Teams integration entry points described in the submission. There is no specific file, test, or acceptance criterion for a newcomer to implement in this issue.