Facturas Inbox Mcp

io.github.pedrozapatadevv0.1.0更新于 Oct 8, 2026

Spanish invoice PDFs to validated data: NIF/IVA/IRPF extraction, arithmetic checks, IVA per quarter.

概览

AI 生成的概览

读取一个存放西班牙语发票 PDF 的文件夹,提取并校验发票字段,并计算季度 IVA 状况。

功能
这个本地 stdio 服务器会对文件夹中的每个 PDF 进行分类(factura、rectificativa、ticket、nómina、modelo AEAT),并提取发票字段,如 NIF/CIF、base imponible、各税率的 IVA、IRPF 和总额。它会校验 NIF/NIE/CIF 校验位,并以整数分为单位检查算术(base × rate、IRPF 预扣、base + VAT − IRPF = total)。工具包括 scan_folder、classify_document、extract_invoice、validate_tax_id、vat_summary 和 export_csv。未通过检查的单据会被排除在合计之外,并列出原因。
适用场景
适用于记账和 gestoría 工作:需要整理、核对并汇总一个月内收到的西班牙语业务单据。适合回答某份单据是什么、数字是否对得上,以及某季度的 IVA soportado 与 repercutido 状况。它是复核辅助工具,不是会计软件,也不能用于申报。
运行要求
通过 npx(npm 包 facturas-inbox-mcp)以 stdio 进程在本地运行,需要 Node.js 20.12 或更高版本。需要以参数形式或通过 FACTURAS_INBOX_DIRS 环境变量提供一个或多个文件夹路径;使用 --demo 参数可使用内置的合成收件箱。未声明需要 API 密钥或账户。PDF 需要有文本层,不含内置 OCR。
安装前请注意
它只读取启动时指定的文件夹,路径经 realpath 解析,因此会拒绝目录穿越以及指向这些文件夹之外的符号链接。唯一的写入操作是 export_csv,它会创建新的 CSV 文件且从不覆盖。文档文本被视为不可信:原始文本仅在请求时以 untrusted_text_preview 返回,以 =、+、- 或 @ 开头的 CSV 单元格会被处理以防公式注入。校验位验证只能确认税号格式正确,并不代表已在 AEAT 或 VIES 注册。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Facturas Inbox Mcp,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

facturas-inbox-mcp

[CI] [License: MIT] [MCP SDK v2] [Node ≥ 20.12]

An MCP server that turns a folder of Spanish business documents into validated, structured data an AI agent can reason over. It classifies each PDF (factura, rectificativa, ticket, nómina, modelo AEAT…), extracts the invoice fields (NIF/CIF, base imponible, IVA per rate, IRPF, total), checks the arithmetic and the tax-ID checksums, and computes the IVA soportado / repercutido position for a quarter.

Local and offline. No API keys. It reads only the folders you give it.

Built for the everyday job of a Spanish gestoría: a client drops a month of PDFs in a folder and someone has to work out what is what, what adds up and what the VAT position is.

30-second demo

Claude Code, Sonnet, pointed at the synthetic examples/inbox (11 documents, including a wrong total, a ticket, a credit note, a payslip, a modelo 303 and a scanned page). Real session; the answer is trimmed for length (full, unedited transcript in docs/demo-transcript.md):

text
> I'm the bookkeeper for Gestoría Demo Ficticia SL (CIF B87654323). Process the invoice  inbox and tell me our IVA position for Q3 2026, and flag anything I need to look at  by hand. Answer in English, briefly.
  ⏺ facturas - scan_folder {}  ⏺ facturas - vat_summary {"own_tax_id":"B87654323","quarter":"2026-Q3"}  ⏺ facturas - validate_tax_id {"tax_id":"B87654323"}
Q3 2026 IVA position: €243.00 to pay (a pagar), provisional.
- IVA repercutido: €504.00, from 1 issued invoice (GD-2026-0088, base €2,400 at 21%)- IVA soportado: €261.00, from 4 received documents (base €1,400): €231 at 21% and  €30 at 10%- The July papelería invoice (€52.50 IVA) is cancelled out by the September credit note.
Check by hand:1. Papelería PE-2026/0455 (30 Jul): the total says €1,250 but base + IVA comes to   €1,210. Excluded. If the supplier corrects it, your position drops to about €33.2. Gasolinera ticket 88213 (14 Aug, €60): IVA not broken out and no recipient NIF.   Excluded. Probably not deductible without a full invoice.3. Scanned PDF (5 Sep): no text layer, so it needs OCR or a manual read. It could be   a missing Q3 invoice.4. Credit note PE-2026/R-0019: classified at 0.69 confidence. Confirm it really is a   rectificativa of PE-2026/0412.5. Laura's advisory invoice (3 Aug): €150 IRPF withheld, which goes on modelo 111,   not the IVA return.   …

5 turns · 23 s · $0.13. Every number comes from a tool result, not from the model doing arithmetic. Documents that fail a check are excluded and listed with a reason, so nothing is silently counted or silently dropped.

Tools

ToolWhat it doesHints
scan_folderClassify and extract every document in a folder; one compact row each, paginated with limit / cursorread-only
classify_documentLabel one document, with a confidence score and the signals behind the labelread-only
extract_invoiceInvoice number, date, issuer/recipient NIF, base, VAT lines, IRPF, total, plus every cross-check. response_format: concise | detailedread-only
validate_tax_idNIF / NIE / CIF checksum validation. Says the expected control character when wrongread-only
vat_summaryIVA repercutido vs. soportado for a quarter (2026-Q3) or a from/to range, by rate, with the exclusions listedread-only
export_csvWrite the scan to a new .csv file (;-separated, decimal comma, opens directly in Spanish Excel). Never overwriteswrites a new file

Every tool publishes an outputSchema and returns structuredContent, and the SDK validates both directions. All tools set full annotations (readOnlyHint, destructiveHint: false, idempotentHint, openWorldHint: false), so clients can auto-approve the read-only ones.

The checks

extract_invoice returns status: "ok" only when every check passes:

CheckRule
issuer_tax_idA checksum-valid NIF/NIE/CIF is present before the client section
issue_dateA real calendar date was found (15/07/2026, 22 de septiembre de 2026, …)
vat_rate_standardEvery VAT rate is a Spanish rate (0, 4, 5, 10, 21 %)
vat_mathbase × rate = VAT, per rate when the invoice breaks bases out (±1 cent)
irpf_mathbase × IRPF rate = withholding (±1 cent)
total_mathbase + VAT − IRPF = total

All arithmetic is in integer cents.

Install

Requires Node.js 20.12 or newer.

Try it in 30 seconds (bundled sample data)

bash
claude mcp add facturas-demo -- npx -y facturas-inbox-mcp --demo

--demo serves the synthetic inbox that ships with the package. Then ask Claude: "I'm the bookkeeper for CIF B87654323. What's our IVA position for Q3 2026, and what should I check by hand?"

Claude Code

bash
claude mcp add facturas -- npx -y facturas-inbox-mcp ~/Documents/facturas

Claude Desktop

Add this to claude_desktop_config.json (Settings → Developer → Edit Config):

json
{  "mcpServers": {    "facturas": {      "command": "npx",      "args": ["-y", "facturas-inbox-mcp", "/Users/you/Documents/facturas"]    }  }}

Any other MCP client

It's a standard stdio server: npx -y facturas-inbox-mcp <folder> [more folders…], or npx -y facturas-inbox-mcp --demo. Folders can also come from FACTURAS_INBOX_DIRS (separated like PATH).

From source, with the sample inbox

bash
git clone https://github.com/pedrozapatadev/facturas-inbox-mcp && cd facturas-inbox-mcpnpm install && npm run buildclaude mcp add facturas -- node "$PWD/dist/index.js" "$PWD/examples/inbox"

Then ask: "I'm the bookkeeper for CIF B87654323. What's our IVA position for Q3 2026?"

To poke at the tools without an LLM, run npm run inspect (MCP Inspector).

Design decisions

  • Deterministic core, no model inside. The agent is already a language model. What it lacks are tools whose answers it can trust. Extraction is rule-based and every result carries its evidence: classifier signals, check details, warnings. The server can explain itself, and the same input always gives the same output.
  • Fail loudly, not silently. Fields that weren't found are null, not guessed. Documents that fail a check are excluded from totals and listed with the reason. Errors are returned as isError results that say how to fix the call ("Pass force: true to try anyway", "Run OCR first").
  • Token-efficient. scan_folder returns compact rows and paginates. extract_invoice is concise by default. export_csv returns a path and counts, not the data.
  • Sandboxed filesystem. Paths are resolved with realpath and must sit inside a folder given at startup, so ../ traversal and symlinks that point outside are rejected (and tested). The only write is export_csv, which creates new .csv files and never overwrites.
  • Untrusted document text. The server instructions tell the agent never to follow instructions found inside a document. Raw text is only returned on request, labelled untrusted_text_preview. CSV cells that start with =, +, - or @ are neutralized against spreadsheet formula injection. Exports are created 0600.
  • Bounded work per document. Files are limited to 20 MB and PDFs to 200 pages. Text is cut at 1M characters before analysis. The extraction regexes are linear-time; a ReDoS case has a regression test.
  • Threat model. The attacker controls document contents, not the filesystem. Paths that are missing and paths outside the folders get the same error, so the tool can't be used to probe what exists elsewhere. Someone who can already write to the inbox could race the check-then-read (a TOCTOU window); that is out of scope.
  • stdout is the protocol. All logging goes to stderr. An end-to-end test drives the built binary over real stdio, and it would fail on a stray console.log.

Limitations

Honest scope. This is a showcase-sized tool, not accounting software.

  • PDFs need a text layer. Scanned images are reported as unreadable with an OCR hint (e.g. ocrmypdf); there is no built-in OCR.
  • Heuristic extraction tuned to common Spanish invoice layouts (labelled fields like Base imponible, IVA 21 %, Total factura). Unusual layouts come back as needs_review rather than wrong.
  • Not handled yet: recargo de equivalencia, intra-EU / reverse-charge invoices, Facturae XML, and counterparty names (only tax IDs).
  • Checksum validation only. A valid NIF is well-formed; it is not confirmed as registered with AEAT or VIES.
  • Not an e-invoicing or VeriFactu tool. It reads received paperwork; it does not issue invoices or file returns. vat_summary is a working figure for review, not a modelo 303.

Development

bash
npm installnpm run fixtures    # regenerate examples/inbox (synthetic data, valid-checksum fictional IDs)npm run typechecknpm test            # unit + in-memory MCP client + stdio end-to-end (build first for the e2e)npm run buildnpm run inspect     # MCP Inspector UI against the sample inbox
src/  index.ts        stdio entry point, CLI args → allowed folders  server.ts       the six tools: schemas, annotations, error mapping  schemas.ts      zod input/output schemas  pipeline.ts     read → classify → extract, shared by all tools  classify.ts     rule-based document classifier with explainable signals  extract.ts      invoice field extraction + arithmetic checks  taxid.ts        NIF / NIE / CIF validation  amounts.ts      Spanish amounts and dates, in integer cents  vat-summary.ts  repercutido / soportado aggregation  documents.ts    sandboxed filesystem + PDF text extraction  csv.ts          Excel-friendly CSV exporttest/             MCP-level tests (in-memory client, stdio e2e, sandbox escapes)

Built on the official MCP TypeScript SDK v2 (@modelcontextprotocol/server), zod and unpdf.

Releasing

  1. Bump version in package.json and both version fields in server.json.
  2. npm publish (runs build + tests first; needs npm 2FA).
  3. gh workflow run publish-mcp-registry.yml lists the new version in the MCP Registry via GitHub OIDC (no secrets).

Roadmap

  • Optional OCR pass for scanned documents
  • Counterparty names, recargo de equivalencia, intra-EU invoices
  • Facturae XML input
  • VIES lookup as an opt-in, clearly network-marked tool
  • Streamable HTTP transport for remote deployment

License

MIT © 2026 Pedro Zapata Medal. All sample documents are synthetic: the companies, people and tax IDs are fictional.

来源:README.md,提交 d789988

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版本历史

1
  1. v0.1.0最新Oct 8, 2026