PDF Simple Tool

MCP Tools

PDF splitting and PDF-to-Word conversion tools implemented in Node.js.

Install

openclaw skills install pdf-simple-tool

PDF Simple Tool Skill

This skill provides two main actions for working with PDF files:

  1. split_pdf – Extract a page range from a PDF into a new PDF.
  2. pdf_to_word – Convert a PDF into a simple Word (.docx) document.

Install

cd skills/pdf-simple-tool/node/ 执行命令: npm install

Actions

split_pdf

When the user asks to split a PDF by page range (for example, "把这个 PDF 的第 3-5 页拆出来" / "split pages 3–5"), call the Node implementation:

  • Entry: skills/pdf-simple-tool/node/index.js
  • Function: splitPdf(inputPath, outputPath, fromPage, toPage)

Inputs

  • inputPath (string): The absolute path to the source PDF.
  • outputPath (string): The absolute path where the new PDF will be written.
  • fromPage (integer): Start page (1-based).
  • toPage (integer): End page (1-based, inclusive).

Example behavior:

  • If the user says: "帮我把 /Users/xingxing/.openclaw/workspace/test.pdf 的第 1-3 页拆成一个 PDF 文件", map this to:
    • inputPath = "/Users/xingxing/.openclaw/workspace/test.pdf"
    • outputPath = "/Users/xingxing/.openclaw/workspace/test_p1-3.pdf"
    • fromPage = 1
    • toPage = 3

pdf_to_word

When the user asks to convert a PDF to Word (for example, "把这个 PDF 转成 Word" / "convert to docx"), call the Node implementation:

  • Entry: skills/pdf-simple-tool/node/index.js
  • Function: pdfToWord(inputPath, outputPath)

Inputs

  • inputPath (string): The absolute path to the source PDF.
  • outputPath (string): The absolute path where the Word file (.docx) will be written.

Example behavior:

  • If the user says: "把 /Users/xingxing/.openclaw/workspace/test.pdf 转成 Word", map this to:
    • inputPath = "/Users/xingxing/.openclaw/workspace/test.pdf"
    • outputPath = "/Users/xingxing/.openclaw/workspace/test.docx"

Notes

  • Implementation code lives in skills/pdf-simple-tool/node/index.js and uses:
    • pdf-lib for PDF manipulation.
    • pdf-parse + docx for PDF-to-Word conversion.
  • You are responsible for wiring these actions into your agent so that natural language requests are converted into the appropriate function calls with the correct paths and page ranges.