@infoinlet/mcp-jp-doc-intel

MCPcommunity
v0.1.0UnknownMITUpdated 3mo agonpmGitHub

Japanese document AI for agents — invoice & business-card extraction, OCR, classification (hosted API).

Works in
ClaudeCursorCopilotGemini

Inferred from the transports this listing declares (stdio). A client not listed here hasn’t been ruled out — it just isn’t something Forge can confirm.

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
43Downloads/wk
3mo agoLast update
Package
AuthorUnknown
LicenseMIT
Version0.1.0
Sourcenpm+mcp-registry
Trust Status
B
60/100Good
Listed in Forge index+10/10
Publisher identity verified+0/20
Publisher: run `forge publish` from the package repo to claim ownership
Ed25519 publish signature+0/5
Included automatically when the publisher runs `forge publish`
Domain verification+0/5
Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
npm Trusted Publishing (Sigstore)+0/5
Publish from GitHub Actions with --provenance so the attestation binds this package to this repo
npm maintainer match+0/5
Earned once your identity is verified above and that login is an npm maintainer of this package
CVE scan · clean+30/30
Static analysis · clean+20/20
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain
Provenance
Dependencies✓ 60 resolved+ · none vulnerable
Tool surface6 tools · none privileged
Security scan✓ Cleanv0.1.0 · 4d agoHow well does this scan work?
EvalsNone
IndexedAug 26, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts.

Tools

6 tools · none privileged
Statically extracted from the published packagev0.1.0 · 4d ago

Read out of the source npm actually ships, at scan time. The package was never executed. Tools registered dynamically at runtime, or hidden inside bundled or minified code, can be missed — so this is a floor on the tool surface, not a complete census of it.

extract_invoiceExtract structured fields from a Japanese (or English) invoice — vendor, invoice number, validated 適格請求書 T-number, dates (元号→Gregorian), subtotal/tax/total (zero-decimal currency aware), tax breakdown, and line items. Give a local `path` or `content_base64`+`filename`.

Extract structured fields from a Japanese (or English) invoice — vendor, invoice number, validated 適格請求書 T-number, dates (元号→Gregorian), subtotal/tax/total (zero-decimal currency aware), tax breakdown, and line items. Give a local `path` or `content_base64`+`filename`.

No input schema was published for this tool.

extract_documentOCR/parse any document to text; optionally classify its Japanese document kind. Multi-page PDFs are split and processed page-by-page.

OCR/parse any document to text; optionally classify its Japanese document kind. Multi-page PDFs are split and processed page-by-page.

No input schema was published for this tool.

extract_handwritingVLM OCR for handwriting, hanko (stamps), and faxed/scanned artifacts. Returns recognized text.

VLM OCR for handwriting, hanko (stamps), and faxed/scanned artifacts. Returns recognized text.

No input schema was published for this tool.

extract_meishiParse a business-card (meishi) image into name, kana, company, title, email, phone, and address. Give a local `path` or `content_base64`+`filename`.

Parse a business-card (meishi) image into name, kana, company, title, email, phone, and address. Give a local `path` or `content_base64`+`filename`.

No input schema was published for this tool.

classify_textCheaply classify pasted text into a Japanese document kind (議事録/稟議書/仕様書/履歴書/契約書/請求書/始末書/generic). No file needed.

Cheaply classify pasted text into a Japanese document kind (議事録/稟議書/仕様書/履歴書/契約書/請求書/始末書/generic). No file needed.

No input schema was published for this tool.

usageShow this API key’s usage/quota (trial keys show used/limit/remaining + expiry; subscribed keys are unlimited).

Show this API key’s usage/quota (trial keys show used/limit/remaining + expiry; subscribed keys are unlimited).

No input schema was published for this tool.

6 of 6 tools published a description.

Tool names and descriptions are written by the publisher and shown verbatim as inert text. They are the strings an MCP client passes to a model, so Forge scans them for prompt-injection patterns — any finding appears with the security scan above. “Privileged” is a keyword match on the tool name, not an audit of what the tool does: a benign-sounding name can still do anything.

About

Japanese document AI for agents — invoice & business-card extraction, OCR, classification (hosted API).

Keywords
mcp
Alternatives
Comparing tool surfaces…

Dependency tree

What one Forge scan resolved from npm metadata on 2026-08-30 — observed resolution, not a publisher declaration.

60 packages resolved · 2 direct · none carrying advisories Resolution stops at depth 4 and 60 packages.

The crawl stopped at the depth-4 limit. Anything below that level was never resolved.

The crawl stopped at the 60-package limit. The rest of the tree was never resolved.

36 more resolved packages are not drawn here (display cap: 24). Every dependency carrying an advisory is drawn regardless of the cap. Full inventory (CycloneDX SBOM)

Declared but not resolved

54 declared dependencies never landed in the tree. They are missing from Forge's resolution, not from the package.

+42 more not listed. The counts by reason above cover all of them.

Not followed: peerDependencies. This tree covers runtime dependencies only, so anything those pull in was never resolved.