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juergenkoller-software/pdf-content-search-mcp

by Various

Open-source MCP server bridge for PDF Content Search — full-text PDF search + OCR for Claude/Cursor across thousands of documents.

J

MCP

juergenkoller-software/pdf-content-search-mcp

Added 11 June 2026

#claude #claude-code #claude-desktop #cursor #full-text-search #json-rpc #macos #mcp

Overview

An open-source MCP server that enables full-text search and OCR-based search across thousands of PDF documents. It integrates with Claude and Cursor to provide a bridge for querying PDF content programmatically.

Best for

Best for
Developers needing to add PDF search capabilities to AI-driven applications

Use cases

  • Searching large PDF libraries for specific text or phrases
  • Extracting searchable content from scanned documents via OCR
  • Integrating PDF search capabilities into AI assistant workflows

Notes

An open-source MCP server that enables full-text search and OCR-based search across thousands of PDF documents. It integrates with Claude and Cursor to provide a bridge for querying PDF content programmatically.

0 stars on GitHub. Last updated 2026-06-08. Licensed MIT.

Use cases

  • Searching large PDF libraries for specific text or phrases
  • Extracting searchable content from scanned documents via OCR
  • Integrating PDF search capabilities into AI assistant workflows

Pros

  • Supports both text and OCR-based search for comprehensive coverage
  • Open-source and free to use with no vendor lock-in
  • Works with popular AI tools like Claude and Cursor

Cons

  • Written in Swift, limiting cross-platform compatibility
  • No GitHub stars yet, indicating limited community adoption or testing
  • Requires setup of an MCP server, adding deployment complexity

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Supports both text and OCR-based search for comprehensive coverage
  • Open-source and free to use with no vendor lock-in
  • Works with popular AI tools like Claude and Cursor

Cons

  • Written in Swift, limiting cross-platform compatibility
  • No GitHub stars yet, indicating limited community adoption or testing
  • Requires setup of an MCP server, adding deployment complexity

Pairs with

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