# Parallel Tasks

> Use this tool when you need to execute multiple tasks simultaneously for efficient data enrichment from the web. It solves problems of slow data processing and limited task execution by running Parallel.ai tasks in parallel, enabling extremely powerful data collection and analysis. This tool takes in tasks as input and outputs enriched data, ideal for use cases requiring rapid and robust web data extraction.

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

## Description

Execute Parallel.ai Tasks in Parallel for extremely powerful data enrichment from the web

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/parallel/tasks)

## 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": "parallel-tasks"
    }
  }
}
```

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