What are the prerequisites to run this server?
.NET 9.0 SDK, an Azure subscription with an Azure OpenAI Service instance, and an Azure AD app registration with the `Application.Read.All` permission.
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Basic information
MCP Server that talks to Graph API
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
An MCP server that connects to Microsoft Graph API, enabling an AI assistant to query and interact with Azure Active Directory/Entra ID resources. It includes a .NET Web API server and a Blazor WebAssembly client for AI-assisted chat about application registrations.
Configure appsettings.json with Azure OpenAI endpoint and Azure AD credentials, then run dotnet run from the MCP.Server and MCP.Client directories. Use the client’s “Test Connection” and “Test Graph API” buttons to verify connectivity, then chat with the AI about Azure AD resources.
.NET 9.0 SDK, an Azure subscription with an Azure OpenAI Service instance, and an Azure AD app registration with the `Application.Read.All` permission.
Set the `AzureOpenAI` section (Endpoint, DeploymentName, ApiKey) and `AzureAd` section (TenantId, ClientId, ClientSecret, Scopes) in `appsettings.json`.
The Microsoft Graph application permission `Application.Read.All` must be granted and admin‑consented.
Run the included `TestGraphPermissions.ps1` PowerShell script, or use the client’s “Test Graph API” button to diagnose permission issues.
Ensure your Azure OpenAI API keys and Azure AD client secrets are valid, confirm admin consent has been granted, and check CORS settings in the server’s `Program.cs` if the client cannot connect.

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