Docs is answering right now. Last checked moments ago. It exposes 14 tools.
Documents and web for AI agents: PDF parse, OCR, web extract, invoice checks. x402, no API key.
Uptime history
6 days of history
6 days agonow
100.0%
Uptime 24h
92 of 92 checks
14
Tools
read from the server
635 ms
Response time
average over 24h
open, no key
Access
streamable-http
Nothing serious here today
Today is the operative word: we check Docs every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
Connect this server
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 0 min ago.
run in your terminal
claude mcp add docs --transport http https://mart402.com/mcp/docsSettings → Connectors → Add custom connector, then paste this address
https://mart402.com/mcp/docs~/.codex/config.toml
[mcp_servers.docs]
url = "https://mart402.com/mcp/docs".cursor/mcp.json
{
"mcpServers": {
"docs": {
"url": "https://mart402.com/mcp/docs"
}
}
}.vscode/mcp.json
{
"servers": {
"docs": {
"type": "http",
"url": "https://mart402.com/mcp/docs"
}
}
}Available tools 14
Read directly from the server with tools/list, grouped by what they act on.
If a tool disappears, we record the date.
pdf
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.
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.
catalog
get_catalog
Mart402 product catalog: all products, prices, payment config, error codes, rate limits. Free.
document
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 paid call; for text only use parse_document.
enrich
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 profile (GLEIF LEI / Japan NTA) with per-field evidence; pass country_hint 'jp' for Japanese companies.
extract
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_document.
ocr
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.
parse
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 its full text as Markdown; call pdf_info first if you do not know whether it is scanned, and use document_pipeline instead for invoices you also want verified.
quote
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).
receipt
get_receipt
Re-fetch a previously paid result for free by receipt id (every paid response carries receipt_id).
sample
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, jp-mortgage, jp-overtime-wage, jp-payroll-net, jp-payroll-suite, jp-payslip-audit, jp-retirement-tax, jp-social-insurance, meal-vision, ocr, parse, pdf-info, pdf-merge, pdf-pages, portrait-analysis, report-pack, structured, style-profile, style-report, verify.
structured
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.
verify
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 only need them checked; to start from a PDF use document_pipeline.
Endpoints
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://mart402.com/mcp/docs | streamable-http | answering | 407 ms | 0 min ago |
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Docs — questions
Answers built from our own checks of this server.
What can Docs do?
It exposes 14 tools, read directly from the server on our last check. Among them: document_pipeline, enrich_company, extract_url, get_catalog, get_receipt, get_sample and 8 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README.
How MCP servers expose tools in the first place →
Is Docs working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 635 ms. The bar chart above shows every period we have measured.
How do I connect Docs?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Docs need an API key?
No. Docs completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 14 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Docs?
It answers our handshake in 635 ms on average, which is faster than 19% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.