Dichiarino

Dichiarino

Enables AI assistants to help compile the Italian Modello 730 income tax return by providing IRPEF calculations, deduction tools, and tax rule guidance.

Category
Visit Server

README

<div align="center">

<img src="site/assets/logo-icon.svg" alt="Dichiarino icon" width="100"/><br/>

<img src="site/assets/logo.svg" alt="Dichiarino" width="520"/>

CI Python 3.11+ License: Apache 2.0 MCP

An MCP (Model Context Protocol) server that acts as an intelligent assistant for compiling the Italian Modello 730 Precompilato - the pre-filled annual income tax return.

</div>


What is Dichiarino?

Dichiarino is an MCP server that gives any compatible AI assistant (Claude Desktop, Cursor, etc.) deep knowledge of the Italian tax system and calculation tools for the 730 form. It embeds official fiscal rules, IRPEF rates, and deduction limits so the AI can guide you through your annual tax return.

Note: The Agenzia delle Entrate provides no public API for the 730 precompilato. Dichiarino works as a knowledge + calculation engine - it cannot submit your return for you. Always verify results with a qualified professional (CAF, commercialista, consulente del lavoro).

Features

Tool Description
calcola_irpef IRPEF lorda from income + year (2024: 23%/35%/43%)
calcola_detrazione_lavoro Work income tax credit - formula per bracket + €65 bonus
calcola_detrazioni_familiari_tool Detrazioni for spouse, children ≥21, other dependants
calcola_oneri Quadro E deductions - medical, mortgage, renovation, university…
verifica_spesa_detraibile Is this expense deductible? Which quadro? How much?
valida_codice_fiscale_tool Validate + parse Italian codice fiscale (check digit algorithm)
calcola_risultato_dichiarazione Full 730 result - rimborso or debito
guida_quadro Step-by-step guide for any Quadro (A–W, M, T)
lista_documenti_spesa Documents needed for a specific expense type
genera_checklist_730 Personalised compilation checklist
calcola_addizionale_regionale_tool Regional IRPEF surcharge for all 20 Italian regions
analizza_certificazione_unica Validate CU (Certificazione Unica) fields for consistency

Resources:

  • dichiarino://aliquote/{anno} - IRPEF brackets and rates
  • dichiarino://quadri/{nome} - Full instructions for each Quadro
  • dichiarino://scadenze/{anno} - Key deadlines
  • dichiarino://regioni - Regional surcharge table
  • dichiarino://detrazioni - Full deduction limits table

Agent Skills

In addition to the MCP server, Dichiarino ships a set of portable Agent Skills in the skills/ folder - standalone instruction packages compatible with Claude, Cursor, and any agentskills.io-supported tool. They work without the MCP server but are enhanced when it is connected.

Skill When to use
calcola-irpef-730 Compute IRPEF, brackets, detrazioni lavoro, 2025 cuneo fiscale
compila-quadro-730 Fill in any quadro of the 730 form step by step
verifica-codice-fiscale Validate and decode a codice fiscale
calcola-detrazioni-730 Calculate Quadro E deductions and limits
checklist-documenti-730 Generate a personalised document checklist
analizza-cu Parse and explain a Certificazione Unica (CU)

See skills/README.md for installation instructions.

Requirements

  • Python 3.11+
  • uv (recommended) or pip

Installation

# Clone the repo
git clone https://github.com/gsaccardi/dichiarino-mcp.git
cd dichiarino-mcp

# Install with uv
uv sync

Usage

With Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "dichiarino": {
      "command": "uv",
      "args": [
        "--directory",
        "/absolute/path/to/dichiarino-mcp",
        "run",
        "dichiarino"
      ]
    }
  }
}

With Cursor or other MCP clients

Add to .cursor/mcp.json (project) or ~/.cursor/mcp.json (global):

{
  "mcpServers": {
    "dichiarino": {
      "command": "uv",
      "args": ["--directory", "/path/to/dichiarino-mcp", "run", "dichiarino"]
    }
  }
}

Run directly

uv run dichiarino
# or
uv run python -m dichiarino.main

Example Interactions

Once connected to Claude Desktop:

You: Quanto IRPEF devo pagare su un reddito di 35.000€?

Claude: [calls calcola_irpef + calcola_detrazione_lavoro]
        IRPEF lorda: 8.890€
        Detrazione lavoro: 1.565€ + bonus 65€
        IRPEF netta stimata: 7.260€
You: Ho speso 1.200€ dal medico quest'anno. Cosa posso detrarre?

Claude: [calls calcola_oneri]
        Spese sanitarie: 1.200€ - franchigia 129,11€ = 1.070,89€ x 19% = 203,47€
        Documenti necessari: fatture mediche, scontrini farmacia con CF
You: Quali quadri devo compilare? Ho lavoro dipendente, mutuo, e figli under 21.

Claude: [calls genera_checklist_730]
        Quadri: Frontespizio, C (lavoro), E (mutuo 19% su max 4.000€)
        ⚠️ I figli under 21 non generano detrazione - coperti dall'Assegno Unico Universale
        Documenti: CU datore, quietanza interessi banca, contratto mutuo

Development

# Install dev dependencies
uv sync --dev

# Run tests
uv run pytest

# Lint
uv run ruff check src/ tests/

# Type check
uv run mypy src/

Project Structure

src/dichiarino/
├── main.py              # Entry point
├── server.py            # MCP server setup + registration
├── types.py             # Domain types
├── calculators/         # Pure calculation functions
│   ├── irpef.py
│   ├── detrazioni_lavoro.py
│   ├── detrazioni_familiari.py
│   ├── oneri.py
│   └── addizionali.py
├── validators/
│   └── codice_fiscale.py
├── data/                # Static fiscal data (2024)
│   ├── aliquote_irpef.py
│   ├── addizionali_regionali.py
│   ├── limiti_detrazioni.py
│   └── istruzioni_quadri.py
├── tools/               # MCP tool handlers
└── resources/           # MCP resource handlers

tests/
├── calculators/         # Unit tests for fiscal math
├── validators/          # Codice fiscale tests
└── integration/         # Full MCP server integration tests

Tax Year Coverage

Anno di imposta Modello Status
2025 730/2026 ✅ Fully supported (default)
2024 730/2025 ✅ Fully supported
2023 730/2024 ✅ IRPEF brackets supported

Attribution

This project is licensed under the Apache License 2.0. If you redistribute this software or a Derivative Work, you must include the NOTICE file and retain the following attribution:

Powered by Dichiarino - https://github.com/gsaccardi/dichiarino-mcp

See LICENSE and NOTICE for full terms.

Disclaimer

The fiscal calculations provided are for informational purposes only and do not constitute professional tax or legal advice. Always verify your tax return with a qualified professional before submission. The authors accept no liability for errors or changes in fiscal legislation.


<div align="center"> Made with ❤️ for Italian taxpayers </div>

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured