SylphxAI/pdf-reader-mcp

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

56
/ 100
Established

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.

547 stars. Actively maintained with 2 commits in the last 30 days.

Use this if you are developing AI agents or applications that need to rapidly extract structured information like text, images, and metadata from many PDF documents, maintaining content order.

Not ideal if you need a graphical user interface for manual PDF editing or don't require high-speed, programmatic PDF content extraction for AI systems.

AI Development Document Processing Data Extraction Natural Language Processing Information Retrieval
No Package No Dependents
Maintenance 13 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 17 / 25

How are scores calculated?

Stars

547

Forks

57

Language

TypeScript

License

MIT

Last pushed

Mar 02, 2026

Commits (30d)

2

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curl "https://pt-edge.onrender.com/api/v1/quality/mcp/SylphxAI/pdf-reader-mcp"

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