# com.mcparmory/parallel

> Use this tool when you need to automate web searches, extract relevant content, and run tasks concurrently across multiple nodes. It solves problems related to data collection, processing, and distributed task management, enabling efficient AI-powered automation. The tool accepts web queries and task definitions as inputs and outputs extracted content and task results.

Canonical page: https://skillsregistry.net/skills/com-mcparmory-parallel  
JSON: https://api.skillsregistry.net/v1/skills/com-mcparmory-parallel

## Description

Search the web, extract content, and run distributed tasks with AI-powered automation

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.mcparmory%2Fparallel)
- **Repository:** <https://github.com/mcparmory/registry>

## 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": "com-mcparmory-parallel"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-mcparmory-parallel` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-mcparmory-parallel/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