MCP Graph API Demo

@ovaismehboob

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Basic information

About MCP Graph API Demo

No overview available yet

#mcp #graph-api #azure#blazor#ai-assistant

MCP Graph API Demo config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

MCP Graph API Demo tools

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Overview

What is MCP Graph API Demo?

MCP Graph API Demo demonstrates the Model Context Protocol (MCP) with Azure Graph API to query application registrations in your Azure tenant. It uses a Blazor WebAssembly client that communicates with an ASP.NET Core server implementing MCP, allowing an AI-assisted chat interface to retrieve and present application registration data.

How to use MCP Graph API Demo?

Install .NET 9.0 SDK, configure Azure AD and OpenAI settings in the appsettings.json files (server and client), then start the server with dotnet run in MCP.Server and the client with dotnet run in MCP.Client. Open a browser and use the chat interface to ask questions about your Azure App Registrations.

Key features of MCP Graph API Demo

Chat interface to query Azure tenant information
Access to Graph API functions through MCP
Semantic Kernel integration for LLM function calling
Clean separation of LLM client and Graph API server
Supports Azure OpenAI or OpenAI API

Use cases of MCP Graph API Demo

List all app registrations in a tenant
Get details for a specific app registration by ID
Query permissions of an app registration
Demonstrate MCP architecture with Graph API integration

Frequently asked questions

What prerequisites are needed?

.NET 9.0 SDK, an Azure subscription with Application Registration permissions, and an Azure OpenAI resource or OpenAI API key.

How do I configure the server?

Edit `MCP.Server/appsettings.json` with your Azure AD tenant ID, client ID, client secret, and required scopes (`User.Read`, `Application.Read.All`).

Where does user data live?

Data is retrieved from Microsoft Graph API and processed on the server; the client only receives structured results and never holds raw Graph API data.

What transport or authentication does it use?

The server uses Azure AD authentication to call Microsoft Graph API; the client uses Azure AD for user authentication and an API key for OpenAI. Communication between client and server happens via standard HTTP.

Can I extend the Graph API capabilities?

Yes, add new function declarations in `MCP.Server/Services/McpGraphService.cs` and implement the logic in `ExecuteFunctionAsync`. The client's LLM automatically discovers and uses new functions.

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