# google-workspace-mcp-server

> google-workspace-mcp-server — priyankaverma-1998-mcp-server-groww-weekly-pulse-reviewer. Use this tool when you need to integrate AI agents with Google Workspace to automate email sending and document editing. It solves problems such as automated communication and collaborative document management by enabling agents to send Gmail messages and append content to Google Docs. The tool accepts Model Context Protocol inputs and outputs updated document content, making it ideal for use cases that require seamless interaction with Google Workspace applications.

Canonical page: https://skillsregistry.net/skills/priyankaverma-1998-mcp-server-groww-weekly-pulse-reviewer  
JSON: https://api.skillsregistry.net/v1/skills/priyankaverma-1998-mcp-server-groww-weekly-pulse-reviewer

## Description

Enables AI agents to send Gmail messages and append content to Google Docs using the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.69
- **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/md1ct8wxpg)
- **Repository:** <https://github.com/priyankaverma-1998/mcp-server-groww-weekly-pulse-reviewer>

## 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": "priyankaverma-1998-mcp-server-groww-weekly-pulse-reviewer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/priyankaverma-1998-mcp-server-groww-weekly-pulse-reviewer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/priyankaverma-1998-mcp-server-groww-weekly-pulse-reviewer/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