
Facturas Inbox Mcp
io.github.pedrozapatadevv0.1.0Updated Oct 8, 2026
Spanish invoice PDFs to validated data: NIF/IVA/IRPF extraction, arithmetic checks, IVA per quarter.
Overview
Reads a folder of Spanish invoice PDFs, extracts and validates invoice fields, and computes a quarterly IVA position.
- What it does
- This local stdio server classifies each PDF in a folder (factura, rectificativa, ticket, nómina, modelo AEAT) and extracts invoice fields such as NIF/CIF, base imponible, IVA per rate, IRPF and total. It validates NIF/NIE/CIF checksums and checks the arithmetic (base × rate, IRPF withholding, base + VAT − IRPF = total) in integer cents. Tools include scan_folder, classify_document, extract_invoice, validate_tax_id, vat_summary and export_csv. Documents that fail a check are excluded from totals and listed with a reason.
- When to use it
- Useful for bookkeeping and gestoría work where a month of received Spanish business documents must be sorted, checked and totalled. It fits questions about what a document is, whether its numbers add up, and the IVA soportado versus repercutido position for a quarter. It is a review aid, not accounting software or a filing tool.
- Requirements
- Runs locally as a stdio process via npx (npm package facturas-inbox-mcp) and requires Node.js 20.12 or newer. It needs one or more folder paths given as arguments or via the FACTURAS_INBOX_DIRS environment variable; a bundled synthetic inbox is available with the --demo flag. No API keys or accounts are declared. PDFs need a text layer; there is no built-in OCR.
Installation
In SourceWeft
- Open Facturas Inbox Mcp in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
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):
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
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:
All arithmetic is in integer cents.
Install
Requires Node.js 20.12 or newer.
Try it in 30 seconds (bundled sample data)
--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
Claude Desktop
Add this to claude_desktop_config.json (Settings → Developer → Edit Config):
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
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 asisErrorresults that say how to fix the call ("Passforce: trueto try anyway", "Run OCR first"). - Token-efficient.
scan_folderreturns compact rows and paginates.extract_invoiceis concise by default.export_csvreturns a path and counts, not the data. - Sandboxed filesystem. Paths are resolved with
realpathand must sit inside a folder given at startup, so../traversal and symlinks that point outside are rejected (and tested). The only write isexport_csv, which creates new.csvfiles 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 created0600. - 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
unreadablewith 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_reviewrather 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_summaryis a working figure for review, not a modelo 303.
Development
Built on the official MCP TypeScript SDK v2 (@modelcontextprotocol/server),
zod and unpdf.
Releasing
- Bump
versioninpackage.jsonand bothversionfields inserver.json. npm publish(runs build + tests first; needs npm 2FA).gh workflow run publish-mcp-registry.ymllists 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.
Source: README.md at commit d789988
Tools
0Version history
1- v0.1.0LatestOct 8, 2026


