PDF Reader
Provides comprehensive PDF processing capabilities, including advanced academic analysis and content extraction, optimized for agent understanding.
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This tool functions as an MCP server designed for intelligent PDF processing, specifically optimized for agent-driven understanding and interaction. It offers a comprehensive suite of capabilities, from basic PDF handling like full text, image, and table extraction to advanced academic-aware features such as structural analysis, key section extraction, and specialized prompt generation for academic papers. By providing resources with custom file URIs, enriched metadata, and semantic content chunking, it enables agents to efficiently analyze and interact with complex PDF documents, making it a powerful asset for research and data processing workflows.
Características Principales
- Academic structure detection and key section extraction (e.g., Abstract, Introduction, Methods)
- Intelligent academic paper summarization and deep methodology analysis prompts
- Comprehensive text, image, table, and annotation extraction from PDFs
- PDF metadata retrieval enriched with document type classification
- Custom `file://` URI scheme for accessing individual PDFs and agent-friendly content chunking
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Casos de Uso
- Summarizing academic papers with specific focus areas like methodology or results.
- Analyzing the overall structure and organization of PDF documents, especially research papers.
- Extracting specific content such as text, images, tables, or annotations from any PDF file.
