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Add Parallel AI Integration

Integrate Parallel AI MCP services for web research in NanoClaw.

Updated Aug 23, 2026
Search Tags:#automation#integration#mcp#web research#data analysis#parallel ai
One-click install
npx skills add https://github.com/jokim1/clawrocket --skill add-parallel-ai-integration-jokim1
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Add Parallel AI Integration
Source: https://github.com/jokim1/clawrocket/tree/main/.claude/skills/add-parallel
Command: npx skills add https://github.com/jokim1/clawrocket --skill add-parallel-ai-integration-jokim1

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill integrates Parallel AI's advanced web research capabilities into NanoClaw, enabling faster information retrieval and deeper analysis without blocking the core system.

Core Features & Use Cases

  • Quick Search: Perform rapid web lookups using the Parallel Search API for factual information and current events.
  • Deep Research: Conduct comprehensive analysis on complex topics using the Parallel Task API, with user permission.
  • Non-blocking Design: Leverages the NanoClaw scheduler to poll for results, ensuring the system remains responsive.
  • Use Case: Ask your assistant for the latest news on a topic, and it will use Quick Search. If you need a detailed explanation of a historical event, it will ask for permission and use Deep Research.

Quick Start

Ask your assistant to research the history of artificial intelligence.

Frequently Asked Questions about Add Parallel AI Integration

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

FAQPage Schema
How do I integrate Parallel AI MCP services for web research in NanoClaw?▼

To integrate Parallel AI MCP services for web research in NanoClaw, you must provide a user API key and update the configuration in the container runner and agent runner scripts.

What is asynchronous result polling in parallel AI integration?▼

Asynchronous result polling in parallel AI integration is a non-blocking design mechanism that leverages the NanoClaw scheduler to check for task completion, ensuring the core system remains responsive while executing deep research.

Do I need a Parallel AI API key to use the quick search feature?▼

Yes, you need a user-provided Parallel AI API key to use the quick search feature. The quick search utilizes the Parallel Search API for rapid web lookups and factual information retrieval.

How do I perform deep research on complex topics using Parallel AI?▼

To perform deep research on complex topics, you ask your assistant for a detailed analysis, and it will request permission to use the Parallel Task API for comprehensive information gathering.

Why does the NanoClaw system remain responsive during deep research tasks?▼

The NanoClaw system remains responsive during deep research tasks because the integration uses a non-blocking scheduler for asynchronous result polling rather than waiting for the Parallel Task API to finish.

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