# scantobill-mcp-server

> scantobill-mcp-server — nooot77-scantobill-mcp-server. Use this tool when you need to extract structured data from invoices and business documents in Arabic and English. It solves problems of manual data entry and document processing by providing an AI-powered OCR platform that converts unstructured documents into usable JSON data. The scantobill-mcp-server takes URLs as input and outputs detailed extraction results, enabling efficient document processing and data retrieval.

Canonical page: https://skillsregistry.net/skills/nooot77-scantobill-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/nooot77-scantobill-mcp-server

## Description

MCP server for ScanToBill, an AI-powered OCR platform that extracts structured JSON from invoices and business documents in Arabic and English. It enables Claude Desktop to extract invoice data from URLs, list past extractions, and retrieve detailed results.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/huwf3xvu4g)
- **Repository:** <https://github.com/nooot77/scantobill-mcp-server>

## 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": "nooot77-scantobill-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nooot77-scantobill-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nooot77-scantobill-mcp-server/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