docforge
12 paid document tools: PDF to markdown, OCR, tables, invoices, Word/Excel/HTML, merge/split. x402
我該用這個嗎
品質與安全性
根據工具定義與協定合規性的自動化分析。
上下文成本
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案：
{
"mcpServers": {
"docforge": {
"url": "https://docforged.mcpize.run/mcp"
}
}
}遠端端點
https://docforged.mcpize.run/mcpstreamable-http它能做什麼
工具清單
工具（5）
🟢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.
輸入結構描述
{
"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,
"$schema": "http://json-schema.org/draft-07/schema#"
}⚪ocr_image(file_url, file_base64, language)
Run optical character recognition on an image (png, jpg, webp, bmp) and return the recognized text with a confidence score. Supports 100+ languages via the language parameter (ISO 639-2 codes like 'eng', 'deu', 'fra', 'spa').
輸入結構描述
{
"type": "object",
"properties": {
"file_url": {
"type": "string",
"format": "uri",
"description": "Public http(s) URL of the file"
},
"file_base64": {
"type": "string",
"description": "Base64-encoded file contents (data-URI prefix allowed)"
},
"language": {
"type": "string",
"description": "Tesseract language code, default 'eng'"
}
},
"additionalProperties": false,
"$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).
輸入結構描述
{
"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,
"$schema": "http://json-schema.org/draft-07/schema#"
}⚪render_pdf(content, format, title)
Render markdown (or simple HTML) into a clean, printable A4 PDF. Supports headings, paragraphs, bullet and numbered lists, blockquotes, code blocks, horizontal rules, and inline bold/italic/code. Returns the PDF as base64 plus page count.
輸入結構描述
{
"type": "object",
"properties": {
"content": {
"type": "string",
"minLength": 1,
"description": "The markdown or HTML source to render"
},
"format": {
"type": "string",
"enum": [
"markdown",
"html"
],
"description": "Input format, default markdown"
},
"title": {
"type": "string",
"description": "PDF document title metadata"
}
},
"required": [
"content"
],
"additionalProperties": false,
"$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.
輸入結構描述
{
"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#"
}社群
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