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Tooldash MCP Server

Developer ToolsLow Risk10.0MCP RegistryLocal
Free

Server data from the Official MCP Registry

Offline PDF and text tools: merge, extract pages, inspect, clean text. No upload, no API key.

About

Offline PDF and text tools: merge, extract pages, inspect, clean text. No upload, no API key.

Security Report

10.0
Low Risk10.0Low Risk

Valid MCP server (2 strong, 2 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.

8 files analyzed · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

file_system

Check that this permission is expected for this type of plugin.

env_vars

Check that this permission is expected for this type of plugin.

What You'll Need

Set these up before or after installing:

Optional. Confines every file the server reads or writes to this directory.Optional

Environment variable: TOOLDASH_MCP_ROOT

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-lassib999-tooldash-mcp": {
      "env": {
        "TOOLDASH_MCP_ROOT": "your-tooldash-mcp-root-here"
      },
      "args": [
        "-y",
        "tooldash-mcp"
      ],
      "command": "npx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

ToolDash MCP

Offline PDF and text tools for AI agents. An MCP server that lets Claude Desktop, Cursor, VS Code and any other MCP client merge PDFs, pull out pages, inspect documents and clean up text — entirely on your own machine.

No upload. No API key. No account. No network call of any kind: the PDF work is done locally by pdf-lib, so a confidential contract never leaves your laptop.

Powered by ToolDash


Tools

ToolWhat it doesWrites files?
pdf_infoPage count, per-page dimensions and metadata of a PDFNo
merge_pdfsCombine two or more PDFs into one, in the given orderYes
extract_pdf_pagesCopy a page selection ("1-3,7,10-12") into a new PDFYes
clean_textCollapse whitespace, strip invisible characters, normalize punctuation, optionally remove URLsNo

The two tools that write files refuse to replace an existing file unless you pass overwrite: true, so an agent retrying a call cannot quietly destroy a document.

Requirements

Node.js 20 or newer.

Install

No install step — your MCP client runs it on demand with npx. Add the server to your client's config and restart it.

Claude Desktop

Edit claude_desktop_config.json:

  • macOS~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows%APPDATA%\Claude\claude_desktop_config.json
  • Linux~/.config/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "tooldash": {
      "command": "npx",
      "args": ["-y", "tooldash-mcp"]
    }
  }
}

Restart Claude Desktop. The tools appear under the tools icon in the chat box.

Cursor

Create .cursor/mcp.json in your project (or ~/.cursor/mcp.json for every project):

{
  "mcpServers": {
    "tooldash": {
      "command": "npx",
      "args": ["-y", "tooldash-mcp"]
    }
  }
}

Then enable the server under Settings → MCP.

VS Code (GitHub Copilot agent mode)

Create .vscode/mcp.json:

{
  "servers": {
    "tooldash": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "tooldash-mcp"]
    }
  }
}

Running from a clone

git clone https://github.com/LassiB999/tooldash-mcp.git
cd tooldash-mcp
npm install
npm test

Then point your client at node /absolute/path/to/tooldash-mcp/server.js instead of npx.

Paths may be absolute, relative to the client's working directory, or start with ~. Surrounding quotes are stripped, so a path pasted as "/home/you/file.pdf" still works.

Restricting file access

The server reads and writes wherever your user account can. To confine it to one directory, set TOOLDASH_MCP_ROOT — any path outside it is refused with a clear error:

{
  "mcpServers": {
    "tooldash": {
      "command": "npx",
      "args": ["-y", "tooldash-mcp"],
      "env": { "TOOLDASH_MCP_ROOT": "/home/you/Documents/pdfs" }
    }
  }
}

Usage examples

Ask your assistant in plain language — "merge these two PDFs and put the result on my desktop" — and it will fill in the calls below. The raw JSON is here for testing.

pdf_info

{ "path": "/home/you/Documents/report.pdf" }
report.pdf: 12 page(s), 248.3 KB. Title: "Q3 Report".

merge_pdfs

{
  "inputPaths": ["/home/you/Documents/cover.pdf", "/home/you/Documents/report.pdf"],
  "outputPath": "/home/you/Documents/final.pdf",
  "overwrite": false
}

extract_pdf_pages

Pages are 1-based. Order is preserved, so "3,1-2" gives you page 3 first. A descending range like "5-1" reverses those pages.

{
  "inputPath": "/home/you/Documents/report.pdf",
  "pages": "1-3,7,10-12",
  "outputPath": "/home/you/Documents/excerpt.pdf"
}

clean_text

{
  "text": "Hello   world  \r\n\r\n\r\n\r\nSecond   line   ",
  "collapseBlankLines": true,
  "normalizeQuotes": false,
  "removeUrls": false
}

removeUrls strips every http/https URL. The server is offline, so it cannot tell a working link from a dead one — it does not pretend to.

How it handles failure

Bad input comes back as a readable error result the model can act on, never as a crash: a missing file, a password-protected PDF, a page number past the end of the document, or an output path that already exists each produce a message saying what to do next. The server keeps running.

Diagnostics go to stderr only. stdout carries protocol frames and nothing else — the tests would fail if anything leaked into it.

Development

npm test                # 15 end-to-end tests: a real MCP client over stdio, on real PDFs
npm run inspect         # open the MCP Inspector against this server

Powered by ToolDash

ToolDash is a set of free, browser-based utilities — PDF, text, image, colour, developer and calculator tools — that run entirely in your tab with nothing uploaded. This server brings the same idea to your editor.

License

MIT

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