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techtenstein-pdf

techtenstein-pdf

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github.com/sathvic-kolluProductivity0Updated 15w ago
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About techtenstein-pdf

techtenstein-pdf is an MCP server for extracting text, tables, and metadata from PDF URLs in Claude, Cline, or Cursor sessions. It also supports OCR for scanned PDFs.

Key features

  1. 01Extract PDF text
  2. 02Extract structured tables
  3. 03Read document metadata
  4. 04Use OCR on scanned PDFs

Use cases

  1. 01Extract tables from reports
  2. 02Read text in scanned invoices
  3. 03Check PDF page count and author

MCP support

It exposes PDF text, table, and metadata extraction tools to MCP clients, with optional OCR for text extraction.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "sathvic-kollu-techtenstein-pdf": {
      "command": "uvx",
      "args": [
        "techtenstein-pdf-mcp"
      ],
      "env": {
        "TECHTENSTEIN_API_KEY": "<TECHTENSTEIN_API_KEY>"
      }
    }
  }
}
Run commanduvx techtenstein-pdf-mcp
Environment variables to set
TECHTENSTEIN_API_KEYSecretAPI key from https://apis.techtenstein.com (free tier: 50 extractions/day)

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypitechtenstein-pdf-mcp1.0.2

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Techtenstein PDF MCP

MCP server that gives your Claude, Cline, or Cursor session the ability to extract text, tables, and metadata from any PDF URL — including scanned PDFs via OCR. Powered by the Techtenstein PDF Extract API.

Tools exposed

  • pdf_extract_text(pdf_url, ocr=False) — Extract all text from a PDF as clean plain text
  • pdf_extract_tables(pdf_url) — Extract all tables as structured row arrays
  • pdf_metadata(pdf_url) — Get title, author, page count, creation date, encryption status

Install (Claude Desktop)

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "techtenstein-pdf": {
      "command": "uvx",
      "args": ["techtenstein-pdf-mcp"],
      "env": {
        "TECHTENSTEIN_API_KEY": "your_key_from_techtenstein.com"
      }
    }
  }
}

Restart Claude Desktop. pdf_extract_text, pdf_extract_tables, and pdf_metadata will appear as available tools.

Install (Cline / VS Code)

Cline auto-detects MCP servers from your Claude Desktop config. Same setup as above works.

Install (Cursor)

Add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "techtenstein-pdf": {
      "command": "uvx",
      "args": ["techtenstein-pdf-mcp"],
      "env": {"TECHTENSTEIN_API_KEY": "your_key"}
    }
  }
}

Get an API key

Free tier (50 extractions/day, no card): https://apis.techtenstein.com

Paid tiers start at $5/month for 2,000 extractions.

Example usage

Once installed, ask Claude:

"Extract the tables from this earnings report PDF: https://example.com/q4.pdf"

Claude will call pdf_extract_tables and return a clean structured view of every table on the page.

Or for scanned documents:

"This PDF is a scanned invoice. Extract the text: https://example.com/invoice.pdf"

Claude will call pdf_extract_text(pdf_url, ocr=True) and read the image-based text via OCR.

Response schema (text mode)

{
  "text": "Full extracted body text...",
  "page_count": 12,
  "word_count": 3450,
  "ms": 240
}

Response schema (tables mode)

{
  "tables": [
    {
      "page": 3,
      "rows": [
        ["Product", "Q1", "Q2", "Q3", "Q4"],
        ["Widget A", "1200", "1350", "1420", "1600"]
      ]
    }
  ]
}

Support

License

MIT

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