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Alternatives to seamless-pdf-mcp

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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to perform comprehensive PDF operations locally, including compression, text extraction, PII redaction, page organization, splitting, merging, watermarking, creation, and form filling, all without cloud uploads.
      11 npm
      -
    • A
      license
      B
      quality
      B
      maintenance
      Lets AI assistants read, search, edit, annotate, sign, redact and OCR PDF files entirely on the local machine, with no uploads and non-destructive writes to new files. It also merges, splits and reorganises pages, fills forms, compares versions to detect tampering, and converts documents between PDF, Word, Excel, images and text, including turning bank statements into spreadsheet rows.
      22
      AGPL 3.0
    • 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
      B
      maintenance
      Enables AI assistants to edit text inside real PDF files in place while preserving fonts and layout, with a before/after preview. Also supports compressing, merging, splitting, converting, translating, generating and querying PDFs through a hosted remote MCP endpoint.
      MIT
    • A
      license
      B
      quality
      A
      maintenance
      Enables AI agents to perform local-first PDF processing entirely on-device, including OCR write-back to make scans searchable, unlocking and re-encrypting PDFs, splitting/merging/rotating pages, and compressing files, with no cloud calls or file uploads.
      25
      1
      MIT
    • 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
      51 PyPI
      1
      Apache 2.0