Pdf Reader
Securely reads PDF files (local or URL) and extracts text, metadata, or page counts for AI agents.
Acerca de
Empower AI agents with the ability to securely read and extract information from PDF files using a single tool. Supports both local relative paths and public URLs, providing a structured JSON output via MCP. Designed for seamless use within MCP environments via `npx` or Docker, it prioritizes security through context confinement and efficient data transfer, making it ideal for integrating PDF parsing into AI agent workflows.
Características Principales
- Reads full text content, specific pages, or page ranges from PDF files.
- Retrieves the total page count of a PDF.
- Processes multiple PDF sources (local paths or URLs) in a single request.
- Extracts PDF metadata (author, title, creation date, etc.).
- Securely operates within a defined project root.
- 4 GitHub stars
Casos de Uso
- Enabling AI agents to extract specific data from PDF reports.
- Automating PDF data extraction for knowledge base creation.
- Providing a secure and controlled way for AI models to process PDF documents.
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