# Microsoft Entra MCP Server

> Use this tool when you need to integrate AI assistants with Microsoft Entra (Azure AD) directory services, enabling them to search for users and groups, and check memberships. It provides access to the Microsoft Graph API, allowing for seamless interaction with Azure AD directories. Ideal for use cases requiring automated directory queries and authentication, such as identity verification and access control.

Canonical page: https://skillsregistry.net/skills/arunksingh16-azure-entra-mcp  
JSON: https://api.skillsregistry.net/v1/skills/arunksingh16-azure-entra-mcp

## Description

A FastMCP server that provides AI assistants with access to Microsoft Entra (Azure AD) directory services. It enables LLMs to search for users, groups, and check memberships using the Microsoft Graph API.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fb3rb480mb)
- **Repository:** <https://github.com/arunksingh16/azure-entra-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "arunksingh16-azure-entra-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/arunksingh16-azure-entra-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/arunksingh16-azure-entra-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt