pdf-reader-mcp and pdf-mcp

These two tools are competitors, as both aim to provide a production-ready MCP server for PDF processing, with B emphasizing speed and test coverage.

pdf-reader-mcp
56
Established
pdf-mcp
43
Emerging
Maintenance 13/25
Adoption 10/25
Maturity 16/25
Community 17/25
Maintenance 10/25
Adoption 4/25
Maturity 20/25
Community 9/25
Stars: 547
Forks: 57
Downloads:
Commits (30d): 2
Language: TypeScript
License: MIT
Stars: 7
Forks: 1
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No Package No Dependents
No risk flags

About pdf-reader-mcp

SylphxAI/pdf-reader-mcp

📄 Production-ready MCP server for PDF processing - 5-10x faster with parallel processing and 94%+ test coverage

This project helps AI agents quickly and reliably process PDF documents. It takes PDF files (or URLs) as input and outputs extracted text, images, and document metadata. This is used by developers building AI solutions that need to understand content from PDFs efficiently.

AI Development Document Processing Data Extraction Natural Language Processing Information Retrieval

About pdf-mcp

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.

document-analysis research-automation information-extraction data-mining content-discovery

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