# Carbone

> Use this tool when you need to automate document generation across multiple formats, converting templates and JSON data into professional documents such as invoices, reports, and contracts. It solves problems of manual document creation, format incompatibility, and batch processing, providing a scalable solution for document automation. With JSON data as input and 100+ document formats as output, Carbone is ideal for use cases requiring template-based document customization and conversion.

Canonical page: https://skillsregistry.net/skills/carbone  
JSON: https://api.skillsregistry.net/v1/skills/carbone

## Description

Carbone is a universal document generation platform that converts templates and JSON data into professional documents across 100+ formats. The service provides template-based document automation, format conversion, PDF customization, and batch generation capabilities. This MCP server enables AI assistants to generate invoices, reports, contracts, and other documents using Carbone's cloud API or on-premise installations.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/carbone)
- **Repository:** <https://github.com/carboneio/carbone-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "carbone"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/carbone` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/carbone/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt