# Microsoft 365 MCP Server

> Microsoft 365 MCP Server — softeria-ms-365-mcp-server. Use this tool when you need to integrate AI assistants with Microsoft 365 services, enabling management of resources like Excel, Calendar, and Mail through natural language interaction. It solves problems of automation and accessibility, allowing users to interact with Microsoft 365 via voice or text commands. The tool takes natural language inputs and outputs actions and data from Microsoft 365 services, making it ideal for use cases requiring seamless interaction with Microsoft 365 resources.

Canonical page: https://skillsregistry.net/skills/softeria-ms-365-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/softeria-ms-365-mcp-server

## Description

A Model Context Protocol server that enables interaction with Microsoft 365 services (Excel, Calendar, Mail, OneDrive, Teams, etc.) through the Graph API, allowing AI assistants to manage Microsoft 365 resources via natural language.

## Trust

- **Trust score (0–1):** 0.36
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xlghnf3dxl)
- **Repository:** <https://github.com/Softeria/ms-365-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": "softeria-ms-365-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/softeria-ms-365-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/softeria-ms-365-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