# mcp-ocr-anagrafica

> mcp-ocr-anagrafica — sebaldar-mcp-ocr. Use this tool when you need to extract structured data from images, PDFs, and XML documents, particularly for demographic and invoice data. It solves problems related to data extraction from multi-part documents and unstructured files, providing accurate and reliable output. The tool takes in images, PDFs, and XML documents as input and outputs extracted structured data, ideal for use cases requiring automated data processing and information retrieval.

Canonical page: https://skillsregistry.net/skills/sebaldar-mcp-ocr  
JSON: https://api.skillsregistry.net/v1/skills/sebaldar-mcp-ocr

## Description

Remote MCP server for extracting structured data from images, PDFs, and XML documents using LLM Vision models. Provides specialized tools for demographic and invoice data extraction with support for multi-part documents.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cbmydjkgz7)
- **Repository:** <https://github.com/sebaldar/MCP-OCR>

## 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": "sebaldar-mcp-ocr"
    }
  }
}
```

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