# mcp-reportia

> mcp-reportia — javalenciacai-mcp-reportia. Use this tool when you need to access and manage business data, such as health, companies, and accounting information, through a unified API interface. It solves problems related to data reporting, export, and management, handling authentication and supporting operations like listing and exporting to various formats. The tool takes in authentication tokens or credentials and natural language inputs, and outputs data in formats like Excel and PDF.

Canonical page: https://skillsregistry.net/skills/javalenciacai-mcp-reportia  
JSON: https://api.skillsregistry.net/v1/skills/javalenciacai-mcp-reportia

## Description

An MCP server that wraps the Reportia REST API, exposing 66 tools for health, companies, accounting movements, mappings, reports, third parties, salesperson invoices, cost centers, and operations. It handles authentication via token or credentials and enables operations like listing, exporting to Excel/PDF, and management through natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/evlbsmgwpu)
- **Repository:** <https://github.com/javalenciacai/mcp-reportia>

## 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": "javalenciacai-mcp-reportia"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/javalenciacai-mcp-reportia` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/javalenciacai-mcp-reportia/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