# aparser-mcp

> aparser-mcp — izzipizzy-aparser-mcp. Use this tool when you need to automate parsing tasks, such as running SERP queries or processing bulk jobs, to efficiently gather and fetch results. It solves problems related to data extraction, queue management, and result retrieval, making it ideal for AI agents requiring large-scale data processing. The tool accepts inputs like query parameters and job requests, and outputs parsed results, allowing for seamless integration into various workflows.

Canonical page: https://skillsregistry.net/skills/izzipizzy-aparser-mcp  
JSON: https://api.skillsregistry.net/v1/skills/izzipizzy-aparser-mcp

## Description

Enables AI agents to drive parsing tasks via A-Parser, including running SERP queries, queueing bulk jobs, polling, and fetching results.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ln8zb643w5)
- **Repository:** <https://github.com/izzipizzy/aparser-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": "izzipizzy-aparser-mcp"
    }
  }
}
```

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