# MailOKF MCP

> MailOKF MCP — pat229988-okf-mail. Use this tool when you need to synchronize and search across multiple email accounts, including Gmail, Outlook, and iCloud Mail, and turn them into a unified knowledge layer. It solves problems of email fragmentation and information overload by providing a centralized interface for mailbox actions, synchronization, and retrieval. The MailOKF MCP server takes email account credentials as input and outputs a searchable knowledge layer with 38 tools and four resources for enhanced productivity.

Canonical page: https://skillsregistry.net/skills/pat229988-okf-mail  
JSON: https://api.skillsregistry.net/v1/skills/pat229988-okf-mail

## Description

A local-first Python MCP server that turns Gmail, Outlook/Microsoft 365, iCloud Mail, and generic IMAP/SMTP mailboxes into a synchronized, searchable OKF knowledge layer, exposing 38 tools and four resources for mailbox actions, synchronization, retrieval, attachments, and optional semantic search while keeping the provider mailbox authoritative.

## Trust

- **Trust score (0–1):** 0.15
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ym8fvo7al4)
- **Repository:** <https://github.com/pat229988/OKF_MAIL>

## 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": "pat229988-okf-mail"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pat229988-okf-mail` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pat229988-okf-mail/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