# gmail-mcp

> gmail-mcp — jlindustries845-droid-gmail-mcp. Use this tool when you need to integrate Gmail with AI assistants, enabling automated email management across multiple Google accounts. It solves problems such as streamlining email workflows, improving response times, and enhancing productivity by allowing search, send, and management of emails and attachments. The tool accepts inputs like email credentials and AI assistant queries, and outputs managed email threads and attachments, making it ideal for use cases requiring seamless email-AI integration.

Canonical page: https://skillsregistry.net/skills/jlindustries845-droid-gmail-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jlindustries845-droid-gmail-mcp

## Description

Deployable MCP server on Cloudflare Workers that connects Gmail to AI assistants, enabling search, read, send, reply-all, forward, attachment handling, and label/thread management across multiple Google accounts simultaneously.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ha57t94sug)
- **Repository:** <https://github.com/jlindustries845-droid/gmail-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": "jlindustries845-droid-gmail-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jlindustries845-droid-gmail-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jlindustries845-droid-gmail-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