# Gmail

> Use this tool when you need to interact with email content, such as searching, retrieving, or analyzing messages, and integrate natural language capabilities with Gmail data. It solves problems like summarizing inbox contents, finding specific messages, or analyzing communication patterns. The tool takes in authentication credentials and search queries as inputs and outputs full message content and search results.

Canonical page: https://skillsregistry.net/skills/vinayak-mehta-gmail  
JSON: https://api.skillsregistry.net/v1/skills/vinayak-mehta-gmail

## Description

This MCP server implementation provides a bridge to Gmail, allowing AI assistants to search, retrieve, and interact with email content. Developed by Vinayak Mehta, it offers tools for authenticating with Google's API, executing email searches, and fetching full message content. The server is designed for use cases requiring natural language interactions with email data, such as summarizing inbox contents, finding specific messages, or analyzing communication patterns.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/vinayak-mehta-gmail)
- **Repository:** <https://github.com/vinayak-mehta/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": "vinayak-mehta-gmail"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vinayak-mehta-gmail` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vinayak-mehta-gmail/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