office-mcp – OpenClaw Skill

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name: office-mcp description: MCP server for Word, Excel, PowerPoint operations via AI author: claude-office-skills version: "1.0" tags: ['mcp', 'office', 'word', 'excel', 'powerpoint'] models: [claude-sonnet-4, claude-opus-4] tools: [computer, code_execution, file_operations] library: name: Office MCP url: https://github.com/anthropics/skills stars: N/A

Office Mcp Skill

Overview

This skill wraps Office document operations as MCP tools, allowing Claude to create, edit, and manipulate Word, Excel, and PowerPoint files with standardized interfaces.

How to Use

1. Describe what you want to accomplish
2. Provide any required input data or files
3. I'll execute the appropriate operations

Example prompts:

• "Create Word documents with AI-generated content"
• "Build Excel spreadsheets with formulas"
• "Generate PowerPoint presentations"
• "Batch edit Office documents"

Domain Knowledge

Office MCP Tools

Tool	Input	Output
create_docx	Title, sections, styles	.docx file
edit_docx	Path, changes	Updated .docx
create_xlsx	Data, formulas	.xlsx file
create_pptx	Slides, layout	.pptx file

Integration with Claude Skills

# Example: Combining Skills + MCP

User: "Create a sales report from this data"

1. Data Analysis Skill → Analyze data
2. office-mcp/create_docx → Generate Word report
3. office-mcp/create_xlsx → Generate Excel summary
4. office-mcp/create_pptx → Generate PowerPoint deck

MCP Server Implementation

from mcp import Server
from docx import Document
from openpyxl import Workbook

server = Server("office-mcp")

@server.tool("create_docx")
async def create_docx(title: str, content: str, output_path: str):
    doc = Document()
    doc.add_heading(title, 0)
    doc.add_paragraph(content)
    doc.save(output_path)
    return {"status": "success", "path": output_path}

@server.tool("create_xlsx")
async def create_xlsx(data: list, output_path: str):
    wb = Workbook()
    ws = wb.active
    for row in data:
        ws.append(row)
    wb.save(output_path)
    return {"status": "success", "path": output_path}

Best Practices

1. Validate inputs before document operations
2. Use temp files for large documents
3. Return structured responses with file paths
4. Handle errors gracefully with meaningful messages

Installation

# Install required dependencies
pip install python-docx openpyxl python-pptx reportlab jinja2

Resources

• Office MCP Repository
• Claude Office Skills Hub