# DocxProcessor

> Use this tool when you need to create, edit, or manipulate Microsoft Word documents programmatically, solving problems such as document generation, content editing, or template-based creation. It takes in commands and document inputs, and outputs modified Word documents, providing a rich set of tools for text formatting, table management, and content searching. Ideal for workflows requiring dynamic document processing within a conversation interface.

Canonical page: https://skillsregistry.net/skills/meterlong-docx-processor  
JSON: https://api.skillsregistry.net/v1/skills/meterlong-docx-processor

## Description

DocxProcessor MCP server provides a comprehensive Word document processing service that enables AI assistants to create, edit, and manipulate Microsoft Word documents through a rich set of tools. Built using Python with the python-docx library, it offers functionality for adding and formatting text, managing tables, searching and replacing content, and preserving document styling. The implementation includes state management for maintaining document sessions across server restarts and detailed error handling, making it particularly valuable for workflows requiring document generation, content editing, or template-based document creation without leaving the conversation interface.

## Trust

- **Trust score (0–1):** 0.77
- **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:** [PulseMCP](https://www.pulsemcp.com/servers/meterlong-docx-processor)
- **Repository:** <https://github.com/meterlong/mcp-doc>

## 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": "meterlong-docx-processor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/meterlong-docx-processor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/meterlong-docx-processor/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