MCP server

Mart402 Docs Official

com.mart402/docs

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Documents and web for AI agents: PDF parse, OCR, web extract, invoice checks. x402, no API key.

Website

At a glance

Type

MCP server

Publisher

mart402.com (verified by the MCP Registry)

Status

Working at last check

Tools

14

Token cost

About 3,086 tokens per request

Sets up in

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

Last checked

26 Oct 2026, 08:29 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 docs https://mart402.com/mcp/docs

Claude Desktop

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

Codex (config.toml)

[mcp_servers.docs]
url = "https://mart402.com/mcp/docs"

Gemini CLI

{"mcpServers":{"docs":{"httpUrl":"https://mart402.com/mcp/docs"}}}

Cursor

{"mcpServers":{"docs":{"url":"https://mart402.com/mcp/docs"}}}

VS Code

{"servers":{"docs":{"type":"http","url":"https://mart402.com/mcp/docs"}}}

Antigravity

agy mcp add docs https://mart402.com/mcp/docs

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":"docs","server_url":"https://mart402.com/mcp/docs","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"docs","server_url":"https://mart402.com/mcp/docs"}

Tools

• document_pipeline ~257 tokens
  One call: PDF invoice to parse (hallucination-guarded OCR) + field extraction + arithmetic verification (+optional issuer enrich). Flat $0.05/document; inputs validated before payment. Choose this when a PDF is an invoice/receipt and you want parse + field extraction + arithmetic verification in one
• enrich_company ~261 tokens
  Company name/domain/URL to a verified profile from primary sources + GLEIF LEI and Japan NTA corporate-number registries. Per-field evidence + confidence, honest nulls; unresolved lookups never charged. $0.03/company. Choose this when you have a company NAME or DOMAIN and need a registry-grounded pr
• extract_url ~281 tokens
  Extract a web page to clean Markdown + metadata (auto JS rendering, robots.txt respected). $0.005 fast / $0.01 rendered; cached results half price. Choose this when you need a web PAGE as clean Markdown to read yourself; to fill a schema use structured_extract, for a PDF use pdf_info then parse_docu
• get_catalog ~52 tokens
  Mart402 product catalog: all products, prices, payment config, error codes, rate limits. Free.
• get_receipt ~86 tokens
  Re-fetch a previously paid result for free by receipt id (every paid response carries receipt_id).
• get_sample ~454 tokens
  Free recorded sample response for a paid product (from real production runs, marked sample:true) - see the exact response shape before paying anything. Available: document-pipeline, enrich, extract, jp-bonus-net, jp-business-days, jp-company, jp-consumption-tax, jp-crypto-tax, jp-dependent-threshold
• ocr_image ~277 tokens
  OCR one image to text with dual-engine consensus, calibrated confidence and per-segment corroboration. Japanese-strong. Flat $0.05/image. Choose this when the input is an IMAGE (photo, screenshot, receipt); for PDFs use parse_document.
• parse_document ~293 tokens
  Parse a PDF to structured Markdown (hallucination-guarded OCR for scanned pages, Japanese-strong). Pass url (one step: the 402 quotes the exact price for that PDF) or quote_id from quote_parse (price fixed by the quote). One of the two is required. Choose this when the input is a PDF and you want it
• pdf_info ~188 tokens
  PDF facts before you pay for parsing: pages, metadata, per-page text volume, scanned-or-not estimate. $0.001. Choose this first for any unknown PDF (cheapest real call); then parse_document, pdf_pages or document_pipeline.
• pdf_merge ~144 tokens
  Merge 2-10 PDFs into one, in order. Deterministic, $0.003.
• pdf_pages ~176 tokens
  Extract pages from a PDF by 1-based ranges (e.g. 1-3,7) into a new PDF. Deterministic, $0.002.
• quote_parse ~95 tokens
  Free quote for PDF parsing: page count, route (text/scan-OCR) and the exact final price, before any payment. Use the returned quote_id with parse_document (on /mcp or /mcp/docs).
• structured_extract ~241 tokens
  Fill YOUR JSON schema from any URL (hybrid LLM + deterministic canonicalization). $0.03/call. Choose this when you have your OWN JSON schema to fill from any page; for company profiles use enrich_company or jp_company_profile.
• verify_invoice ~281 tokens
  Verify extracted invoice fields: arithmetic consistency, line-item totals, JP registration number check-digit + corporate-number existence observation (official Japan NTA registry), accounting-ready JSON. $0.015/call. Choose this when you already HAVE invoice fields (from your own extraction) and on

Browse

• Website screenshots
• PDF tools
• OCR (text from images)
• Converting to Markdown

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