mcp_documents_reader and macos-office365-mcp-server

These two MCP servers are complementary, as A specializes in reading various document types, including PDF, while B focuses on automating Office 365 applications like Word and PowerPoint on macOS.

Maintenance 10/25
Adoption 6/25
Maturity 20/25
Community 14/25
Maintenance 2/25
Adoption 5/25
Maturity 15/25
Community 15/25
Stars: 15
Forks: 3
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 11
Forks: 5
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No risk flags
Stale 6m No Package No Dependents

About mcp_documents_reader

xt765/mcp_documents_reader

Model Context Protocol (MCP) server exposes tools to read multiple document types including DOCX, PDF, Excel, and TXT. This has been tested on Trae Desktop.

This tool helps AI assistants quickly understand information locked away in common document types like Word files, PDFs, Excel spreadsheets, and plain text. You provide the AI with a document file, and it extracts the raw text content for the AI to process. This is ideal for anyone leveraging AI agents for information retrieval, document analysis, or content synthesis from diverse sources.

AI agent productivity document analysis information extraction AI workflow automation digital content processing

About macos-office365-mcp-server

vAirpower/macos-office365-mcp-server

A Model Context Protocol (MCP) server for automating Microsoft Office 365 applications (PowerPoint and Word) on macOS through AI agents like Claude and Cline.

This tool allows AI assistants like Claude or Cline to directly create and edit Microsoft Office documents on your macOS computer. You can use natural language commands to generate presentations, reports, or spreadsheets. It takes your instructions as input and outputs fully formatted PowerPoint, Word, or Excel files, ideal for anyone who regularly drafts documents and wants to automate repetitive content creation with AI.

document-automation report-generation presentation-creation data-entry macOS-productivity

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