# outlook-mcp

> outlook-mcp — edgar-kessler-outlook-mcp. Use this tool when you need to integrate AI assistants with Outlook email management on Windows, enabling local reading, sending, and management of emails without relying on cloud APIs. It solves problems related to email automation, synchronization, and privacy, providing a secure and offline interface for AI agents to interact with Outlook. The tool accepts inputs such as email content and sender information, and outputs sent emails, inbox updates, and other email management tasks.

Canonical page: https://skillsregistry.net/skills/edgar-kessler-outlook-mcp  
JSON: https://api.skillsregistry.net/v1/skills/edgar-kessler-outlook-mcp

## Description

Enables AI assistants to read, send, and manage Outlook mail locally on Windows via COM/MAPI, without cloud APIs.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q7ikz7ox9u)
- **Repository:** <https://github.com/edgar-kessler/outlook-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": "edgar-kessler-outlook-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/edgar-kessler-outlook-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/edgar-kessler-outlook-mcp/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