# GEMINI-MCP-DOCI

> GEMINI-MCP-DOCI — rogeriorioli-gemini-mcp-doci. Use this tool when you need to automate document editing and analysis, particularly for PDFs, to streamline workflows and enhance productivity. It integrates with Gemini 2.0 Flash and utilizes Node.js, allowing for seamless multimodal analysis and editing of documents. Ideal for applications requiring automated document processing and version control via git.

Canonical page: https://skillsregistry.net/skills/rogeriorioli-gemini-mcp-doci  
JSON: https://api.skillsregistry.net/v1/skills/rogeriorioli-gemini-mcp-doci

## Description

Servidor MCP integrado ao Gemini 2.0 Flash. Agente de IA para leitura, análise multimodal de PDFs e edição automatizada de documentos em Node.js.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** file-system
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/rogeriorioli/GEMINI-MCP-DOCI)

## 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": "rogeriorioli-gemini-mcp-doci"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rogeriorioli-gemini-mcp-doci` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rogeriorioli-gemini-mcp-doci/pull`

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