io.github.steviepinero/docforge

Official5 tools

by steviepinero

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

io.github.steviepinero/docforge — MCP Server Model Context

The io.github.steviepinero/docforge MCP server provides tools for processing and transforming documents. Its documentation states it includes 12 paid document tools, covering conversions such as PDF to markdown, OCR, and extraction of tables, along with invoice handling and support for Word, Excel, and HTML. It also supports merge and split operations. It has a toolCount of 5.

🛠️ Key Features

12 paid document tools
PDF to markdown conversion
OCR
Table handling
Invoice processing
Word/Excel/HTML support
Merge and split

🚀 Use Cases

Convert PDFs to markdown
Extract and interpret text via OCR
Work with tables and invoices in document workflows
Transform Word, Excel, and HTML documents
Combine or divide documents using merge/split

Captured live from the server via tools/list.

pdf_to_markdown

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.

Parameters2

file_url	string	optional	Public http(s) URL of the file
file_base64	string	optional	Base64-encoded file contents (data-URI prefix allowed)

Raw 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

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').

Parameters3

file_url	string	optional	Public http(s) URL of the file
file_base64	string	optional	Base64-encoded file contents (data-URI prefix allowed)
language	string	optional	Tesseract language code, default 'eng'

Raw 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

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).

Parameters2

file_url	string	optional	Public http(s) URL of the file
file_base64	string	optional	Base64-encoded file contents (data-URI prefix allowed)

Raw 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

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.

Parameters3

content	string	required	The markdown or HTML source to render
format	string	optional	Input format, default markdown
title	string	optional	PDF document title metadata

Raw 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

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.

Parameters3

file_url	string	optional	Public http(s) URL of the file
file_base64	string	optional	Base64-encoded file contents (data-URI prefix allowed)
is_image	boolean	optional	Set true when the file is a photo/scan image rather than a PDF

Raw 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#"
}

Install

Tools (5)

pdf_to_markdownocr_imageextract_tablesrender_pdfparse_invoice

Remote endpoint

Streamable HTTP

Hosted server - connect over the network, no local install.

url

https://docforged.mcpize.run/mcp

Add to VS Code Add to Cursor

claude_desktop_config.json

json

{
  "mcpServers": {
    "docforge": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://docforged.mcpize.run/mcp"
      ]
    }
  }
}

Desktop config is stdio-only; this bridges via mcp-remote. Native remote: Settings > Connectors.

io.github.steviepinero/docforge — MCP Server Model Context

🛠️ Key Features

🚀 Use Cases

pdf_to_markdown

ocr_image

extract_tables

render_pdf

parse_invoice

Install

Remote endpoint

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