# MS Word

> Use this tool when you need to automate document creation, analysis, or report generation in Microsoft Word format. It provides a Python-based interface for reading, writing, and editing .docx files, handling text, tables, and images, and is ideal for AI models to analyze and generate content. This tool is particularly useful for tasks that require working with structured Word documents, such as content analysis or automated report generation.

Canonical page: https://skillsregistry.net/skills/famano-office  
JSON: https://api.skillsregistry.net/v1/skills/famano-office

## Description

This MCP server implementation, developed for Microsoft Office document manipulation, provides a Python-based interface for AI assistants to interact with Word documents. Built using libraries like python-docx and leveraging the Model Context Protocol, it offers tools for reading, writing, and editing .docx files, including handling of text, tables, and images. The implementation focuses on efficient document processing, making it easier for AI models to analyze and generate content in Word format. It's particularly useful for automating document creation, content analysis, or report generation tasks that require working with structured Word documents, enabling AI to manipulate Office files without needing deep knowledge of the underlying file formats.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/famano-office)
- **Repository:** <https://github.com/famano/mcp-server-office>

## 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": "famano-office"
    }
  }
}
```

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

---
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