# io.github.agenson-horrowitz/document-parser

> Use this tool when you need to extract relevant information from unstructured documents, such as PDFs, Word files, or HTML pages, and convert it into structured data. It solves problems like data mining, document analysis, and information retrieval, by parsing and extracting useful data from various document formats. The tool takes in documents as input and outputs structured data, making it ideal for use cases like data integration, automation, and business intelligence.

Canonical page: https://skillsregistry.net/skills/io-github-agenson-horrowitz-document-parser  
JSON: https://api.skillsregistry.net/v1/skills/io-github-agenson-horrowitz-document-parser

## Description

Parse and extract structured data from various document formats (PDF, Word, HTML).

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.8
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.agenson-horrowitz%2Fdocument-parser)
- **Repository:** <https://github.com/agenson-tools/document-parser-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": "io-github-agenson-horrowitz-document-parser"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-agenson-horrowitz-document-parser` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-agenson-horrowitz-document-parser/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
