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LassiB999

tooldash-mcp

by LassiB999
README.md
# ToolDash MCP

**Offline PDF and text tools for AI agents.** An [MCP](https://modelcontextprotocol.io) 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`](https://github.com/Hopding/pdf-lib), so a confidential contract never leaves your laptop.

[![Powered by ToolDash](https://img.shields.io/badge/Powered%20by-ToolDash-0f766e)](https://tooldash.app)

---

## Tools

| Tool | What it does | Writes files? |
| --- | --- | --- |
| `pdf_info` | Page count, per-page dimensions and metadata of a PDF | No |
| `merge_pdfs` | Combine two or more PDFs into one, in the given order | Yes |
| `extract_pdf_pages` | Copy a page selection (`"1-3,7,10-12"`) into a new PDF | Yes |
| `clean_text` | Collapse whitespace, strip invisible characters, normalize punctuation, optionally remove URLs | No |

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`

```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):

```json
{
  "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`:

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

### Running from a clone

```bash
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:

```json
{
  "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`

```json
{ "path": "/home/you/Documents/report.pdf" }
```

```
report.pdf: 12 page(s), 248.3 KB. Title: "Q3 Report".
```

### `merge_pdfs`

```json
{
  "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.

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

### `clean_text`

```json
{
  "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

```bash
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](https://tooldash.app)

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.

- **[tooldash.app](https://tooldash.app)** — the full tool collection
- **[PDF Factory](https://pdffactory.pages.dev)** — the browser PDF studio these PDF tools mirror
- **[Al-Katib](https://katib.tooldash.app)** — Arabic keyboard and writing pad

## License

MIT

TDQS

A4.2/5.0

Scored across 4 tools

Disambiguation5/5

Each tool targets a distinct action: reading PDF metadata, merging PDFs, extracting pages, and normalizing text. There is no overlap or boundary ambiguity, so an agent can select the right tool confidently.

Naming Consistency4/5

Three tools follow a clear verb_object pattern (merge_pdfs, extract_pdf_pages, clean_text), while pdf_info uses noun_noun rather than a verb-first form. This is a minor inconsistency in an otherwise predictable and readable naming scheme.

Tool Count4/5

Four tools is a reasonable size for a focused utility server, and none of the tools feel redundant. The mix of PDF operations with a standalone text cleaner makes the scope slightly broad, but the count itself is not too thin or bloated.

Completeness4/5

The PDF workflow covers the key needs of inspection, merging, and page extraction, while clean_text works as a self-contained text utility. Missing operations like PDF text extraction, rotation, or encryption are plausible additions, but agents can complete core merge, extract, and cleanup tasks without dead ends.

Maintenance

ActivityMaintained
ResponsivenessNo issues