jztan/pdf-mcp
Production-ready MCP server for PDF processing with intelligent caching. Extract text, search, and analyze PDFs with AI agents.
This tool helps professionals like researchers, analysts, or legal experts quickly understand and extract information from PDF documents. You input a PDF file, and it allows you to intelligently search, summarize, and pull out specific content like text, tables, or images. It's designed for anyone who regularly processes large or numerous PDFs and needs to efficiently find key details without manually sifting through pages.
Available on PyPI.
Use this if you frequently need to analyze large PDF documents, extract specific data, or find information based on keywords or meaning, and want to automate this process using an AI agent.
Not ideal if you primarily need to edit or create PDFs, or if your workflow involves very simple, one-off PDF viewing that doesn't require advanced extraction or searching.
Stars
7
Forks
1
Language
Python
License
MIT
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
Dependencies
4
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/mcp/jztan/pdf-mcp"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Higher-rated alternatives
SylphxAI/pdf-reader-mcp
📄 Production-ready MCP server for PDF processing - 5-10x faster with parallel processing and...
aaronsb/texflow-mcp
LaTeX document compiler with MCP interface — AI agents author documents via structured model,...
nloui/paperless-mcp
An MCP (Model Context Protocol) server for interacting with a Paperless-NGX API server. This...
xt765/mcp-document-converter
MCP Document Converter - A powerful MCP tool for converting documents between multiple formats,...
xt765/mcp_documents_reader
Model Context Protocol (MCP) server exposes tools to read multiple document types including...