docforge

12 paid document tools: PDF to markdown, OCR, tables, invoices, Word/Excel/HTML, merge/split. x402

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
92%
Qualität der Benennung
88%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~756Tokens (Tool-Definitionen)
~1.1 KBTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.59% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "docforge": {
      "url": "https://docforged.mcpize.run/mcp"
    }
  }
}

Remote-Endpunkte

https://docforged.mcpize.run/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (5)

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🟢pdf_to_markdown(file_url, file_base64)

Extract the text of a PDF and convert it to clean markdown. Detects headings by font size and preserves lists and paragraphs. Input: a text-based PDF via file_url or file_base64. For scanned PDFs use ocr_image on page images instead.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "file_url": {
      "type": "string",
      "format": "uri",
      "description": "Public http(s) URL of the file"
    },
    "file_base64": {
      "type": "string",
      "description": "Base64-encoded file contents (data-URI prefix allowed)"
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
⚪ocr_image(file_url, file_base64, language)

Run optical character recognition on an image (png, jpg, webp, bmp) and return the recognized text with a confidence score. Supports 100+ languages via the language parameter (ISO 639-2 codes like 'eng', 'deu', 'fra', 'spa').

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "file_url": {
      "type": "string",
      "format": "uri",
      "description": "Public http(s) URL of the file"
    },
    "file_base64": {
      "type": "string",
      "description": "Base64-encoded file contents (data-URI prefix allowed)"
    },
    "language": {
      "type": "string",
      "description": "Tesseract language code, default 'eng'"
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🔴extract_tables(file_url, file_base64)

Detect and reconstruct tables from a text-based PDF. Returns each table as structured rows plus ready-to-use markdown and CSV renderings. Works best on PDFs with clear columnar layout (invoices, reports, statements).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "file_url": {
      "type": "string",
      "format": "uri",
      "description": "Public http(s) URL of the file"
    },
    "file_base64": {
      "type": "string",
      "description": "Base64-encoded file contents (data-URI prefix allowed)"
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
⚪render_pdf(content, format, title)

Render markdown (or simple HTML) into a clean, printable A4 PDF. Supports headings, paragraphs, bullet and numbered lists, blockquotes, code blocks, horizontal rules, and inline bold/italic/code. Returns the PDF as base64 plus page count.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "content": {
      "type": "string",
      "minLength": 1,
      "description": "The markdown or HTML source to render"
    },
    "format": {
      "type": "string",
      "enum": [
        "markdown",
        "html"
      ],
      "description": "Input format, default markdown"
    },
    "title": {
      "type": "string",
      "description": "PDF document title metadata"
    }
  },
  "required": [
    "content"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢parse_invoice(file_url, file_base64, is_image)

Extract structured data from an invoice or receipt: vendor, invoice number, dates, currency, subtotal, tax, total, and line items. Accepts a text-based PDF, or an image when is_image is true (OCR is applied first). Returns JSON.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "file_url": {
      "type": "string",
      "format": "uri",
      "description": "Public http(s) URL of the file"
    },
    "file_base64": {
      "type": "string",
      "description": "Base64-encoded file contents (data-URI prefix allowed)"
    },
    "is_image": {
      "type": "boolean",
      "description": "Set true when the file is a photo/scan image rather than a PDF"
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

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