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.

50
/ 100
Established

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.

Available on PyPI.

Use this if your AI assistant needs to ingest and comprehend information from various document formats to perform tasks effectively.

Not ideal if you need to preserve document formatting, images, or non-textual elements, or if your primary need is for human-readable conversion.

AI agent productivity document analysis information extraction AI workflow automation digital content processing
Maintenance 10 / 25
Adoption 6 / 25
Maturity 20 / 25
Community 14 / 25

How are scores calculated?

Stars

15

Forks

3

Language

Python

License

MIT

Last pushed

Mar 10, 2026

Commits (30d)

0

Dependencies

5

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/mcp/xt765/mcp_documents_reader"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.