# com.ainetcafe/netcafe-docs

> com.ainetcafe/netcafe-docs — com-ainetcafe-netcafe-docs. Use this tool when you need to convert unstructured statements, tables, and PDFs into verified data with a built-in reconciliation self-check, solving data accuracy and integrity problems by providing a reliable output of checked data through a straightforward input interface. It is ideal for use cases requiring data validation and verification, such as financial statement analysis or document processing. This tool streamlines data processing by taking in unstructured documents and outputting reliable, checked data.

Canonical page: https://skillsregistry.net/skills/com-ainetcafe-netcafe-docs  
JSON: https://api.skillsregistry.net/v1/skills/com-ainetcafe-netcafe-docs

## Description

Statements, invoices, tables, ledgers — every result carries its own arithmetic proof.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.ainetcafe%2Fnetcafe-docs)
- **Repository:** <https://github.com/mario03690/ai-netcafe>

## Use it

MCP endpoint published by the skill: `https://ainetcafe.com/mcp/docs?s=registry`

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": "com-ainetcafe-netcafe-docs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-ainetcafe-netcafe-docs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-ainetcafe-netcafe-docs/pull`

---
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