# gmail-mcp-server

> gmail-mcp-server — hjerkic-gmail-mcp-server. Use this tool when you need to securely manage Gmail interactions, such as searching and reading mail, drafting replies, and sending emails, with robust security features like encrypted credential storage and scoped OAuth permissions. It solves problems related to automated email management, providing a reliable interface for AI agents like Claude to interact with Gmail while ensuring explicit human oversight. Ideal for use cases requiring secure and controlled email automation, with inputs including email queries and outputs including drafted replies and sent emails.

Canonical page: https://skillsregistry.net/skills/hjerkic-gmail-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/hjerkic-gmail-mcp-server

## Description

A secure Gmail MCP server that lets Claude search, read, and triage mail, draft replies, and send drafts—with encrypted credential storage, scoped OAuth permissions, and explicit human checkpoints before any irreversible action.

## 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:** communication
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sypf7skfv9)
- **Repository:** <https://github.com/hjerkic/gmail-mcp-server>

## 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": "hjerkic-gmail-mcp-server"
    }
  }
}
```

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