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Prashant2204

pdf-text-extractor-mcp

by Prashant2204

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    • A
      license
      A
      quality
      A
      maintenance
      Enables AI agents to inspect and work with PDF files entirely on the local machine, covering page counts, metadata, layout, encryption permissions, scan-vs-text detection, and page rendering. Generated results land in a temporary workspace as short artifact ids that can be chained between tools and exported to real folders on request.
      12
      30 PyPI
      1
      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      It enables AI agents and MCP clients to read, fill, create, export, and reconstruct fillable PDF forms, plus extract, search, and edit text and layout blocks, entirely against local files over stdio.
      Apache 2.0
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI agents to open local PDFs and edit existing text, images, annotations and form fields in place using the document's own embedded fonts, baselines and colours, with undo/redo and page rendering for visual checks. It also exposes 67 whole-document tools such as merge, split, compress, OCR, redact, sign, compare, watermark and conversion to and from PDF, all running locally over stdio.
      1
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables clients to inspect local PDFs by searching text, rendering pages, and cropping selected regions at high resolution directly from the source document. It runs locally over stdio without requiring models, embeddings, GPUs, or API keys, and does not modify source PDFs or send network requests.
      6
      MIT