# google-workspace-alias-mcp

> google-workspace-alias-mcp — johndelapena168-google-workspace-alias-mcp. Use this tool when you need to integrate Google Workspace with AI assistants, enabling management of Gmail and Google Calendar through natural language. It solves problems such as sending emails from aliases, using email templates, and scheduling sends, with inputs including natural language commands and outputs including sent emails and calendar updates. Ideal for use cases requiring automated email and calendar management within Google Workspace.

Canonical page: https://skillsregistry.net/skills/johndelapena168-google-workspace-alias-mcp  
JSON: https://api.skillsregistry.net/v1/skills/johndelapena168-google-workspace-alias-mcp

## Description

A Model Context Protocol server for Google Workspace integration with send-as alias support, email templates, and scheduled send, enabling AI assistants to manage Gmail and Google Calendar through natural language.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ffqk3ocrn2)
- **Repository:** <https://github.com/johndelapena168/google-workspace-alias-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": "johndelapena168-google-workspace-alias-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/johndelapena168-google-workspace-alias-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/johndelapena168-google-workspace-alias-mcp/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