# GoogleDocsMCP

> GoogleDocsMCP — harri200191-googledocsmcp. Use this tool when you need to extract valuable insights from Google Docs using Large Language Models (LLMs). It solves problems of manual data analysis and provides automated connections between Google Docs and LLMs, taking Google Docs as input and generating insightful outputs. Ideal for use cases requiring document analysis, information extraction, and knowledge discovery.

Canonical page: https://skillsregistry.net/skills/harri200191-googledocsmcp  
JSON: https://api.skillsregistry.net/v1/skills/harri200191-googledocsmcp

## Description

A repository to build an MCP that communicates and connects Google Docs with LLMs for valuable insights extraction

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Harri200191/GoogleDocsMCP)

## 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": "harri200191-googledocsmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/harri200191-googledocsmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/harri200191-googledocsmcp/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