parallel

Name: parallel
Availability: InStock
Author: terrifiedbug

Search the web and compile cited results via Parallel AI's MCP integration.

Updated Aug 23, 2026

Search Tags:#automation #research #mcp #citations #parallel #web

Ready to run

npx skills add https://github.com/TerrifiedBug/nanoclaw-skills --skill parallel-terrifiedbug

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: parallel
Source: https://github.com/TerrifiedBug/nanoclaw-skills/tree/main/plugins/nanoclaw-parallel/files/container-skills
Command: npx skills add https://github.com/TerrifiedBug/nanoclaw-skills --skill parallel-terrifiedbug

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Web research using Parallel AI enables quick web searches and deep research tasks with citations via MCP integration.

Core Features & Use Cases

Quick web search using mcp__parallel-search for fast factual lookups.
Deep research using mcp__parallel-task for comprehensive analysis with citations.
Use Case: Gather current events and topic overviews with traceable sources.

Quick Start

Ask Parallel's MCP to search the web for your topic and provide citations.

Frequently Asked Questions about parallel

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate web research with citations using AI?▼

Automating web research with citations involves using AI to search the web and compile evidence-backed results. This approach uses MCP integration to deliver quick lookups and deep research with traceable sources.

What is the best way to get current events and topic overviews with traceable sources?▼

Getting current events and topic overviews with traceable sources is achieved through deep research tasks. This process compiles comprehensive analysis using web searches and provides citations for evidence-backed results.

How does deep research differ from a quick web search for factual lookups?▼

A quick web search provides fast factual lookups using immediate search tools, while deep research uses a task-based approach for comprehensive analysis. Deep research also obtains explicit user permission before starting and uses a scheduler to deliver results.

Can I use MCP integration to compile evidence-backed results across different topics?▼

Yes, MCP integration supports compiling evidence-backed results across various topics. It is applicable for quick lookups and deep research tasks, including current events, definitions, and topic overviews with citations.

Do I need to grant permission before starting a deep research task?▼

Yes, you need to grant explicit user permission before initiating deep research tasks. Once permission is obtained, the system uses a scheduler to manage and deliver the comprehensive analysis results with citations.

Why should I use a scheduler for delivering web research results?▼

Using a scheduler for delivering web research results ensures that deep research tasks are managed effectively. It coordinates the compilation of comprehensive analysis and citations, providing structured evidence-backed outputs.