# document-to-json-mcp

> Use this tool when you need to extract data from unstructured documents like PDFs and convert it into structured JSON format. It solves problems related to data extraction from invoices, bank statements, contracts, and other documents, making it easier to process and analyze the information. The tool takes PDF files as input and outputs structured JSON data, ideal for use cases where automated data processing is required.

Canonical page: https://skillsregistry.net/skills/fashionmascherine-svg-document-to-json-mcp  
JSON: https://api.skillsregistry.net/v1/skills/fashionmascherine-svg-document-to-json-mcp

## Description

Convert PDFs to structured JSON. Extract invoices, bank statements, contracts, and more. Pay per call via x402 USDC.

## 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/owr8b8ikrb)
- **Repository:** <https://github.com/fashionmascherine-svg/document-to-json-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": "fashionmascherine-svg-document-to-json-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fashionmascherine-svg-document-to-json-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fashionmascherine-svg-document-to-json-mcp/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