# Cuentica

> Use this tool when you need to interact with accounting data through natural language, enabling access to company information, invoices, expenses, and more. It solves problems related to data retrieval and management, providing a user-friendly interface with organized API endpoints. Ideal for use cases requiring automated or voice-activated accounting queries, with inputs including natural language requests and outputs including relevant accounting data.

Canonical page: https://skillsregistry.net/skills/dacmail-cuentica  
JSON: https://api.skillsregistry.net/v1/skills/dacmail-cuentica

## Description

Cuentica enables natural language interaction with the Cuentica accounting platform through 60+ API endpoints organized by category. It covers company data, invoices, expenses and income, contacts, banking, documents, and aggregations. The server automatically excludes voided invoices, filters future-dated drafts, handles pagination, and caps results at 50 to prevent context saturation. Rate limiting at 600 requests per 5 minutes is enforced by the Cuentica API.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dacmail-cuentica)
- **Repository:** <https://github.com/dacmail/cuentica-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": "dacmail-cuentica"
    }
  }
}
```

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