Extract

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

검사 2/3 통과 · 내가 묻는 내용은 제작자 서버(mart402.com)를 거쳐요

claude mcp add --transport http --scope user extract https://mart402.com/mcp

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

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

어떤 앱에서 쓸 수 있나요

이 서버의 연결 방식과 각 앱의 공식 문서를 바탕으로 했어요. 2026년 11월 10일 확인.

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할 수 있는 일

도구 이름과 설명은 서버가 2026년 11월 10일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.

• 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).

• search_x402_services

  Search the Market402 verified index of the whole x402 economy by capability (e.g. 'ocr', 'market-data'). Every result is a real, probed resource with a measured 402 Score. Free.

• 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

• portrait_precheck

  FREE analyzability check before paying for portrait_analysis: is a face detectable, is the photo quality good enough (clipping/color cast)? Deterministic, no LLM. 10/hour/IP.

• operator_history

  Free 12-week measured score history for any x402 operator from the Market402 index (weekly series, trend, volatility, badge). Check a seller's record before your agent pays an unfamiliar endpoint.

• 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.

• jp_company_profile

  Japanese company site to a standard profile JSON (name, address, representative, capital, contact). $0.03/site. Choose this when you have the URL of a Japanese company's OWN site and want its standard profile fields read from the page; for name/domain lookups use enrich_company (

• 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.

• meal_vision

  Analyze a meal photo to itemized nutrition JSON: dishes, portions, kcal, macros with per-item confidence, reference-object scale calibration, scene-complexity detection, a disclosed calibrated kcal range, PFC balance ratios and alcohol-aware 4/4/9 cross-checks. Calibrated on 30 w

• style_profile

  Integrated styling verdict: seasonal color (measured colorimetry consensus) + face-impression zone (published geometry rules) + body frame + integration rules (palette subset, taste, silhouette, modifiers). 1-3 face photos, optional full-body + questionnaire. Flat $0.05/call. Cho

• style_report

  Client-ready deliverable: the style-profile analysis rendered as a finished PDF report in English or Japanese (palette with color names, style-aware outfit formulas, virtual draping boards with disclosed candidate conflicts, honest confidence) returned as report_pdf_base64 + full

• report_pack

  Volume pricing for style_report: one $19.90 payment returns 10 single-use credit codes ($1.99/unit vs $2.99 single, en or ja, no expiry). Treat codes like cash. Not an analysis: it buys prepaid style_report credits. Choose this only when you expect to produce several style_report

• portrait_analysis

  Personal color analysis from 1-3 portraits: measured pixel colorimetry (CIELAB/ITA) cross-checked against vision-model attributes, cross-photo lighting consistency, then a published deterministic rule table gives the 4-season verdict with palette and style advice. No identificati

• jp_payroll_net

  Annual gross salary to net take-home (social insurance + income tax + resident tax). Exact NTA Beppyo-5 table. $0.02/call. Deterministic, cites primary sources; errors and unverified rules are never billed. Choose this for a whole YEAR: annual gross salary to annual take-home aft

• jp_bonus_net

  Bonus net pay: social insurance and withholding tax (official rate table, based on previous month salary). $0.01/call. Deterministic, cites primary sources; errors and unverified rules are never billed. Choose this for ONE bonus payment: its social insurance and withholding tax (

• jp_social_insurance

  Monthly social insurance premiums from the official Kyokai-Kenpo grade table (FY2026). $0.01/call. Deterministic, cites primary sources; errors and unverified rules are never billed. Choose this when you only need the monthly social insurance premiums for a given monthly remunera

• jp_dependent_threshold

  Income-wall analysis: tax, social insurance (1.06M/1.30M), spousal and student-dependent walls. $0.02/call. Deterministic, cites primary sources; errors and unverified rules are never billed. Choose this for 'how much can be earned before ...' questions: it locates the income wal

• jp_consumption_tax

  Consumption tax: per-rate invoice rounding, qualified-invoice validation, simplified taxation, 20% special. $0.01/call. Deterministic, cites primary sources; errors and unverified rules are never billed. Required by mode (default invoice_totals): invoice_totals -> lines; validate

• jp_business_days

  Japanese holidays, business-day arithmetic, statutory filing deadlines with holiday shift, wareki conversion. $0.003/call. Deterministic, cites primary sources; errors and unverified rules are never billed. Required by mode (default add): add -> from, days; between -> from, to; h

• jp_overtime_wage

  Overtime premium pay (Labor Standards Act Art.37, official rounding notice) and Article-36 limit check. $0.015/call. Deterministic, cites primary sources; errors and unverified rules are never billed. Required by mode (default pay): pay -> monthly_salary_yen, monthly_scheduled_ho

• jp_retirement_tax

  Retirement income tax: deduction by years of service, half-taxation rules, exact withholding rounding. $0.02/call. Deterministic, cites primary sources; errors and unverified rules are never billed.

• jp_mortgage

  Mortgage schedules (level payment/principal), total interest, prepayment effect. $0.005/call. Deterministic, cites primary sources; errors and unverified rules are never billed.

• jp_payslip_audit

  Audit a Japanese payslip: recompute statutory premiums and withholding tax from official tables and diff against the actual amounts, with per-item verdicts (match/explainable/mismatch). $0.02/call. Deterministic, cites primary sources; errors and unverified rules are never billed

• jp_crypto_tax

  Japan crypto-asset tax: realized income under the NTA total-average or moving-average method (sell/spend/exchange as disposals, fees deductible), verified against the official NTA FAQ examples. $0.05/call. Deterministic, cites primary sources; errors and unverified rules are neve

• jp_payroll_suite

  Japan payroll suite: net salary + social insurance + income walls (+bonus) in one call. Flat $0.05. Choose this when you want take-home pay, social insurance and the income walls (and the bonus, if given) together from one annual figure in one call; if you only need the take-home

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 12일 점검

• ! 주의

  제작자와 저장소 일치

  레지스트리에 소스 저장소가 없어서, 게시자(mart402.com)와 코드를 맞춰 볼 수 없어요

• … 아직 점검 안 함

  계속 관리되고 있음

  아직 GitHub에서 이 저장소를 읽어 오지 않았어요

• … 아직 점검 안 함

  라이선스 있음

  아직 GitHub에서 이 저장소를 읽어 오지 않았어요

• ✓ 통과

  엔드포인트 응답

  109ms 만에 응답(HTTP 200)

• – 해당 없음

  OAuth로 로그인

  로그인 필요 없음

• ✓ 통과

  도구 설명에 숨겨진 지시 없음

  도구 설명 35개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요

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회계, 재무 및 세금 카테고리의 다른 서버와 비교i

• 이 카테고리의 다른 서버 3152개 중 0%보다 스타가 많아요
• 이 카테고리의 다른 서버 3152개 중 21%보다 최근에 레지스트리에 공개됐어요
• 기본 점검 결과가 이 카테고리의 다른 서버 3152개 중 51%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

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