# Gmail Assistant MCP

> Use this tool when you need to automate email management and drafting tasks, such as generating replies to unread emails based on user context and writing style guidelines. It solves problems like email overload and saves time by providing automated draft replies through natural language interactions. The tool takes user context and Gmail data as input and outputs generated draft replies, making it ideal for users seeking to streamline their email workflow.

Canonical page: https://skillsregistry.net/skills/thejoefriel-gmail-assistant-mcp  
JSON: https://api.skillsregistry.net/v1/skills/thejoefriel-gmail-assistant-mcp

## Description

Integrates Gmail with Claude to fetch unread emails and generate draft replies based on user context and writing style guidelines stored in Google Docs. It enables automated email management and drafting through natural language interactions within the Model Context Protocol framework.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yynpafw40u)
- **Repository:** <https://github.com/thejoefriel/gmail-assistant-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": "thejoefriel-gmail-assistant-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/thejoefriel-gmail-assistant-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/thejoefriel-gmail-assistant-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
