MCP server

Docforge

io.github.steviepinero/docforge

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

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

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

5

Token cost

About 930 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http docforge https://docforged.mcpize.run/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.docforge]
url = "https://docforged.mcpize.run/mcp"

Gemini CLI

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

Cursor

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

VS Code

{"servers":{"docforge":{"type":"http","url":"https://docforged.mcpize.run/mcp"}}}

Antigravity

agy mcp add docforge https://docforged.mcpize.run/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"docforge","server_url":"https://docforged.mcpize.run/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"docforge","server_url":"https://docforged.mcpize.run/mcp"}

Tools

• extract_tables ~166 tokens
  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).
• ocr_image ~192 tokens
  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').
• parse_invoice ~201 tokens
  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.
• pdf_to_markdown ~172 tokens
  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.
• render_pdf ~199 tokens
  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.

Browse

• GitHub tools
• PDF tools
• OCR (text from images)
• Spreadsheets
• Converting to Markdown

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