docforge
12 paid document tools: PDF to markdown, OCR, tables, invoices, Word/Excel/HTML, merge/split. x402
使うべきか
品質と安全性
ツール定義とプロトコルへの準拠に関する自動分析に基づいています。
コンテキストコスト
これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。
インストール
ワンクリックインストール
これを `claude_desktop_config.json` ファイルに追加してください:
{
"mcpServers": {
"docforge": {
"url": "https://docforged.mcpize.run/mcp"
}
}
}リモートエンドポイント
https://docforged.mcpize.run/mcpstreamable-httpできること
ツール一覧
ツール（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.
入力スキーマ
{
"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,
"$schema": "http://json-schema.org/draft-07/schema#"
}⚪ocr_image(file_url, file_base64, language)
Run optical character recognition on an image (png, jpg, webp, bmp) and return the recognized text with a confidence score. Supports 100+ languages via the language parameter (ISO 639-2 codes like 'eng', 'deu', 'fra', 'spa').
入力スキーマ
{
"type": "object",
"properties": {
"file_url": {
"type": "string",
"format": "uri",
"description": "Public http(s) URL of the file"
},
"file_base64": {
"type": "string",
"description": "Base64-encoded file contents (data-URI prefix allowed)"
},
"language": {
"type": "string",
"description": "Tesseract language code, default 'eng'"
}
},
"additionalProperties": false,
"$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).
入力スキーマ
{
"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,
"$schema": "http://json-schema.org/draft-07/schema#"
}⚪render_pdf(content, format, title)
Render markdown (or simple HTML) into a clean, printable A4 PDF. Supports headings, paragraphs, bullet and numbered lists, blockquotes, code blocks, horizontal rules, and inline bold/italic/code. Returns the PDF as base64 plus page count.
入力スキーマ
{
"type": "object",
"properties": {
"content": {
"type": "string",
"minLength": 1,
"description": "The markdown or HTML source to render"
},
"format": {
"type": "string",
"enum": [
"markdown",
"html"
],
"description": "Input format, default markdown"
},
"title": {
"type": "string",
"description": "PDF document title metadata"
}
},
"required": [
"content"
],
"additionalProperties": false,
"$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.
入力スキーマ
{
"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#"
}コミュニティ
エビデンス