# Outlook Email

> Use this tool when you need to manage emails efficiently and effectively, solving problems such as disorganized inboxes, difficult email searches, and cumbersome composition. It provides advanced features like email search, rich text composition, and smart reply capabilities, taking inputs like KQL syntax and Markdown, and outputs like HTML and attachment metadata. Use it in contexts where comprehensive email management is crucial, such as business communications, customer support, or personal email organization.

Canonical page: https://skillsregistry.net/skills/mintmcp-outlook-email  
JSON: https://api.skillsregistry.net/v1/skills/mintmcp-outlook-email

## Description

Integrates with Microsoft Outlook to provide comprehensive email management functionality. Features advanced email search with KQL syntax support, rich text composition with Markdown to HTML conversion, smart reply and threading capabilities, and full attachment metadata access. Includes draft management with save and send operations, importance levels, and read status tracking.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mintmcp-outlook-email)

## 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": "mintmcp-outlook-email"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mintmcp-outlook-email` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mintmcp-outlook-email/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
