# Google Docs MCP Server

> Use this tool when you need to integrate AI models with Google Docs, enabling tasks such as document creation, updating, and searching. It solves problems related to automated document management, content generation, and information retrieval. The Google Docs MCP Server takes AI model requests as input and returns relevant document data as output, ideal for use cases requiring dynamic document interaction.

Canonical page: https://skillsregistry.net/skills/penysho-docs-mcp  
JSON: https://api.skillsregistry.net/v1/skills/penysho-docs-mcp

## Description

A Model Context Protocol server that provides an interface for AI models to interact with Google Docs, enabling reading, creating, updating, and searching Google Documents.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gdscfwd7ts)
- **Repository:** <https://github.com/penysho/docs-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": "penysho-docs-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/penysho-docs-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/penysho-docs-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