PDF Reader (@Sylphlab/Pdf MCP Server

📄 The PDF intelligence layer for AI agents — Agent Document Twin, evidence-first extraction, visual crops, OCR provenance, trust reports, and

Local serverstdioTypeScript

What is the PDF Reader (@Sylphlab/Pdf MCP Server?

📄 The PDF intelligence layer for AI agents — Agent Document Twin, evidence-first extraction, visual crops, OCR provenance, trust reports, and benchmark-gated

What it actually does

Turn PDFs into structured text, tables, OCR, visual evidence, and page-level citations — locally — via SDK, CLI, or MCP.

More MCP options

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Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

ToolWhat it does
read_pdfSmart default: markdown, tables, structure, OCR, citations
search_pdfFind page + snippet matches before deep reading
pdf_evidenceCrops, renders, inspect, focused evidence ops
persistent_warmlong-lived server, repeated identical local read_pdf after warm-up
startup_inclusivespawn + initialize + one task

How to install the PDF Reader (@Sylphlab/Pdf MCP Server

{
  "mcpServers": {
    "pdf-reader-mcp-sylphlab": {
      "command": "npx",
      "args": ["-y", "@sylphx/pdf-reader-mcp"]
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Example prompts to try

  • “Use PDF Reader (@Sylphlab/Pdf to Export.”
  • “Use PDF Reader (@Sylphlab/Pdf to Roadmap.”
  • “Use PDF Reader (@Sylphlab/Pdf to Doc.”

Frequently asked questions

It is a multi‑layer output (lossless, visual, semantic, evidence, agent) that keeps the PDF readable by agents while preserving the provenance needed to verify answers – page numbers, bounding boxes, crop IDs, and extraction methods.