pdf-reader-mcp
Active·★ 745·MIT·Updated 2026-05-25
★ Data Processing★ Dev Tooling
📄 Production-ready MCP server for PDF processing - 5-10x faster with parallel processing and 94%+ test coverage
PDF Reader MCP is a production-ready Model Context Protocol server for AI agents. It extracts text, images, and metadata with 5-10x faster parallel processing and Y-coordinate content ordering. With 94%+ test coverage and full TypeScript support, it ensures reliability and performance.
#ai-agent#ai-tools#document-processing#llm-tool#mcp#mcp-servers#model-content-protocol#model-context-protocol
01
Features
015-10x faster parallel processing
02Y-coordinate based content ordering
03Absolute and relative path support (Windows/Unix)
04Image extraction with metadata (base64)
05Batch processing of multiple PDFs
02
Compatibility
Claude Desktop
Claude Desktop
Verified via docs
VS Code
VS Code
Verified via docs
Cursor
Cursor
Verified via docs
Windsurf
Windsurf
Verified via docs
Cline
Cline
Verified via docs
Warp
Warp
Verified via docs
03
Quick start
1
$ npx @sylphx/pdf-reader-mcp
04
Use cases
↳Document analysis and full-text extraction
↳Extracting specific pages or page ranges
↳Batch processing of quarterly reports
05
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Comments
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- JJustice GarciaMar 21, 2026
Much faster than standard PyPDF solutions I've tried in other workflows. Highly recommended.
- MMorgan WilsonMar 13, 2026
Parallel processing here actually works as advertised; parsed a 200-page doc in under 3 seconds using python-based runner.
- KKai ThompsonMar 9, 2026
This is amazing for feeding massive financial reports into Claude via Desktop without freezing the UI.