# document-parser

> Use this tool when you need to extract relevant information from documents, such as PDFs, HTML files, and images, and convert them into a usable format for further analysis. It solves problems related to document processing, data extraction, and text summarization, providing inputs such as PDFs, HTML, and images, and outputs like extracted text, markdown, and summarized content. Ideal for use cases where AI agents require structured data from unstructured documents to inform decision-making or trigger workflows.

Canonical page: https://skillsregistry.net/skills/agenson-tools-document-parser-mcp  
JSON: https://api.skillsregistry.net/v1/skills/agenson-tools-document-parser-mcp

## Description

Provides AI agents with comprehensive document parsing capabilities including PDF text extraction, OCR, HTML-to-markdown conversion, table extraction, and summarization, optimized for agent workflows.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ywt87m9gl9)
- **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": "agenson-tools-document-parser-mcp"
    }
  }
}
```

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