# Microsoft Graph MCP Server

> Use this tool when you need to integrate AI assistants with Microsoft 365 services, enabling interactions with users, mail, calendar, and files via the Microsoft Graph API. It solves problems related to accessing and managing Microsoft 365 data, providing a unified interface for AI agents to retrieve and send data. Ideal for use cases requiring automation, synchronization, or analysis of Microsoft 365 services, with inputs including API requests and outputs including relevant data and service responses.

Canonical page: https://skillsregistry.net/skills/sapientsai-microsoft-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/sapientsai-microsoft-mcp-server

## Description

Enables AI assistants to interact with Microsoft 365 services (users, mail, calendar, files) via Microsoft Graph API.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-05-26

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sn8a7wfynn)
- **Repository:** <https://github.com/sapientsai/microsoft-mcp-server>

## 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": "sapientsai-microsoft-mcp-server"
    }
  }
}
```

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