# Microsoft MCP Server for Enterprise

> Microsoft MCP Server for Enterprise — microsoft-enterprisemcp. Use this tool when you need to query Microsoft Entra data using natural language, converting requests into Microsoft Graph API calls for read-only enterprise IT scenarios, such as retrieving user information or group memberships. It solves problems like simplifying complex API queries and improving accessibility for non-technical users. The tool takes natural language inputs and outputs relevant Microsoft Graph API data, making it ideal for use cases like IT service management and enterprise data analysis.

Canonical page: https://skillsregistry.net/skills/microsoft-enterprisemcp  
JSON: https://api.skillsregistry.net/v1/skills/microsoft-enterprisemcp

## Description

Enables AI agents to query Microsoft Entra data using natural language, converting requests into Microsoft Graph API calls for read-only enterprise IT scenarios.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j421f64o7d)
- **Repository:** <https://github.com/microsoft/EnterpriseMCP>

## 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": "microsoft-enterprisemcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/microsoft-enterprisemcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/microsoft-enterprisemcp/pull`

---
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
