# Mart402 Docs Muse connector

From musedirectory.ai, the independent directory of Meta Muse connectors. Not affiliated with Meta.

## Mart402 Docs

Parse PDFs and web pages, extract invoice data, verify totals and company details with OCR and registry lookups.

- Record: https://musedirectory.ai/connector/mart402-docs
- Category: Finance & Bills
- Developer: Mart402 (https://mart402.com)
- Muse status: Extra setup. Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
- Health: Working, 109ms, checked 2026-10-29T16:06:25Z
- Endpoint: https://mart402.com/mcp/docs
- Auth: No account needed; Pricing: unknown
- Screening: Screened, no issues found (2026-10-29T16:06:25Z)
- Source: Found in the official MCP Registry (com.mart402/docs) https://registry.modelcontextprotocol.io/v0/servers?search=com.mart402%2Fdocs

Extracts text from PDFs and web pages using OCR and parsing. Verifies invoice arithmetic, checks Japanese corporate registration numbers, enriches company profiles from official registries, and merges or extracts PDF pages. Requires USDC payment on Base blockchain.

Example request: "Extract invoice data from a PDF receipt, verify the totals are correct, and look up the vendor's company registration."

How to connect: Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use Mart402 Docs to help me. It is a free service with an MCP server at https://mart402.com/mcp/docs. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

Tools:
- 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
- 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_
- 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
- 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 ow
- 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 
- 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
- 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.

Screening checks:
- MCP handshake: pass (Answered in 109ms)
- Domain against threat feeds (Cloudflare security DNS): pass (mart402.com not flagged)
- Published packages against the OSV malicious-package database: n/a (No npm or PyPI package published)
- Hidden instructions or invisible characters in tool text: pass (14 tools read, nothing found)
- Inputs asking for passwords, card numbers or seed phrases: pass (None found)
- Domain and redirects: pass (Domain registered 92 days ago)
- AI review of purpose and tool behavior: pass (No concerns)