PackForAI MCP server

Convert PDF, DOCX, PPTX, XLSX, CSV and JSON into clean, compact, AI-ready Markdown, directly inside Claude, Cursor and any other MCP client. Powered by PackForAI.

Instead of pasting a messy PDF into your AI (broken text, lost tables, wasted tokens), ask your assistant to convert it first: it comes back as clean Markdown with up to 65% fewer tokens.

What you need

• Node.js 18+
• A PackForAI API key (Pro plan). Create one at packforai.com/account.

Install

The server runs via npx, so there is nothing to install globally. Add it to your MCP client's config.

Claude Desktop

Edit claude_desktop_config.json (Settings → Developer → Edit Config) and add:

{
  "mcpServers": {
    "packforai": {
      "command": "npx",
      "args": ["-y", "packforai-mcp"],
      "env": { "PACKFORAI_API_KEY": "your_key_here" }
    }
  }
}

Restart Claude Desktop.

Cursor

Add to .cursor/mcp.json (project) or ~/.cursor/mcp.json (global):

{
  "mcpServers": {
    "packforai": {
      "command": "npx",
      "args": ["-y", "packforai-mcp"],
      "env": { "PACKFORAI_API_KEY": "your_key_here" }
    }
  }
}

Usage

Once connected, just ask your assistant, for example:

• "Convert ~/Downloads/Q4-report.pdf to clean Markdown."
• "Fetch https://example.com/spec.docx and give me the AI-ready version."
• "Convert this scanned PDF with OCR: /path/to/scan.pdf."

Tool

convert_document

| Param | Type | Description | |-------|------|-------------| | path | string | Absolute path to a local document file. | | url | string | Public https URL of a document to fetch and convert. | | ocr | boolean | Force OCR for scanned / image-only PDFs (Pro). Default false. | | full | boolean | Return the full document.md (e.g. complete spreadsheet tables) instead of the compact version. Default false. |

Provide either path or url. Returns the Markdown plus a token-savings summary.

Config

• PACKFORAI_API_KEY (required) — your PackForAI API key.
• PACKFORAI_BASE_URL (optional) — override the API base (defaults to https://packforai.com/api/v1).

Links

• Website: packforai.com
• API docs: packforai.com/docs

License

MIT