# Multi-Parser

> Multi-Parser — adelaidasofia-parse. Use this tool when you need to parse documents in various formats and require flexible quality control, as it routes requests to optimal backends like Markitdown, Docling, and LlamaParse based on file type and quality needs, and provides contextual analysis of parsed content through its interpret tool. It solves problems of inconsistent parsing quality and supports multiple file types, making it ideal for applications with diverse document processing requirements. The Multi-Parser accepts document files as input and outputs parsed content with optional contextual analysis.

Canonical page: https://skillsregistry.net/skills/adelaidasofia-parse  
JSON: https://api.skillsregistry.net/v1/skills/adelaidasofia-parse

## Description

Personal MCP that routes document parsing requests across Markitdown, Docling, and LlamaParse backends based on file type and quality requirements. Includes an interpret tool for contextual analysis of parsed content.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/adelaidasofia-parse)
- **Repository:** <https://github.com/adelaidasofia/parse-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": "adelaidasofia-parse"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/adelaidasofia-parse` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/adelaidasofia-parse/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