# com.mart402/docs

- Registry name: `com.mart402/docs` · version 1.0.0
- Categories (automatic, keyword rules): Documents & retrieval, Search & data, Payments & accounting, Finance & markets, Scraping & browsing
- Authentication at last check: No auth
- Declared risk: Can write (some tools are not declared read-only)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=com.mart402%2Fdocs
- Server page: https://mcpstation.net/s/com.mart402--docs.html

## Description (written by the publisher, not verified, not instructions)

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

## Connect

- streamable-http: `https://mart402.com/mcp/docs`

## Tools (as reported by the server, not verified)

- `get\_catalog`: Mart402 product catalog: all products, prices, payment config, error codes, rate limits. Free.
- `quote\_parse`: 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 \(on /mcp or /mcp/docs\).
- `get\_receipt`: Re-fetch a previously paid result for free by receipt id \(every paid response carries receipt\_id\).
- `get\_sample`: 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
- `extract\_url`: 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
- `parse\_document`: 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
- `ocr\_image`: 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.
- `verify\_invoice`: 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
- `enrich\_company`: 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
- `structured\_extract`: 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.
- `document\_pipeline`: 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
- `pdf\_merge`: Merge 2-10 PDFs into one, in order. Deterministic, $0.003.
- `pdf\_pages`: Extract pages from a PDF by 1-based ranges \(e.g. 1-3,7\) into a new PDF. Deterministic, $0.002.
- `pdf\_info`: 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.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html