Fatture in Cloud MCP Server
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- AlicenseNot gradedqualityBmaintenanceEnables natural-language management of FattureInCloud invoicing, clients, suppliers, and e-invoice workflows, with extensions for marking invoices as paid and caching payment accounts/VAT types.MIT
- AlicenseNot gradedqualityCmaintenanceEnables integration with Fatture in Cloud to manage Italian electronic invoices through natural conversation, including creating, sending, and tracking invoices and financial data.49 PyPI25MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to issue Italian FatturaPA electronic invoices and transmit them to the SdI via Invoicetronic. Supports creating and querying invoices with Italian VAT rates.MIT
- FlicenseNot gradedqualityCmaintenanceEnables AI agents to create and manage e-invoices through natural language, supporting EU compliance formats like ZUGFeRD and XRechnung, as well as US plain PDF invoices.7-
- AlicenseAqualityCmaintenanceEnables AI agents to work with Italian FatturaPA electronic invoices and the SDI exchange system: extracting invoice data, running structural XML checks, detecting anomalies, aggregating multi-invoice reports, looking up SDI error codes offline, and verifying Italian or EU VAT numbers via VIES. Installs in one line and runs locally with fail-closed file access so untrusted documents can be processed safely.7MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to manage compliant e-invoicing (Factur-X, EN 16931) by creating, issuing, sending, and tracking invoices, quotes, and retainers through natural language via the Model Context Protocol.MIT
TDQS
Scored across 123 tools
The bulk of the surface follows a clean resource+action split (list/get/create/update/delete per entity), and the domain-specific tools have clearly differentiated purposes (audit_documents vs verify_einvoice vs preview_totals, send_einvoice vs bulk_send_einvoice, mark_paid vs bank_reconcile). A few pairs still blur: schedule_run_due vs schedule_run_now, duplicate_document vs bulk_duplicate, and the catch-all api_request overlapping every specialized tool. These are resolvable from descriptions but add selection risk at 123 tools.
There is a dominant, predictable verb_noun snake_case convention across all CRUD families (list_clients, create_issued_document, update_vat_type, delete_receipt), and domain clusters use consistent prefixes (bank_*, schedule_*, bulk_*, tax_profile_*). Deviations exist but are internally coherent: noun-first report names (revenue_summary, client_statement, cashflow_forecast), noun_verb order for tax_profile_get/set, and preposition-like names (client_from_vat, quadro_lm, lookup). Readable, but not a single uniform pattern.
123 tools is far beyond a comfortable agent-facing surface, even for a broad invoicing/accounting platform; the CRUD quintets for a dozen resources alone account for most of it. Several tools could be consolidated (e.g. generic list/get/create/update/delete parameterized by resource, or the many report tools grouped). Each tool has a real function, so it is not a 1, but the count materially burdens discovery and selection.
Coverage is unusually deep: full lifecycle for issued/received/archive documents, clients, suppliers, products, receipts, F24, cashbook, payment accounts/methods and VAT types, plus e-invoicing, reconciliation, tax estimation and reporting workflows with no obvious dead ends. Minor gaps remain for secondary resources (revenue/cost centers, payment terms, document templates, webhooks) that are only reachable via lookup or the api_request escape hatch. Strong but not exhaustive.