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Add Parallel AI Integration

Configure Parallel AI MCP servers for web research in FFT_nano.

Updated Aug 27, 2026
Search Tags:#task automation#mcp#web research#api integration#agent runtime#parallel ai
One-click install
npx skills add https://github.com/0-CYBERDYNE-SYSTEMS-0/nano-core --skill add-parallel-ai-integration-0-cyberdyne-systems-0
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Add Parallel AI Integration
Source: https://github.com/0-CYBERDYNE-SYSTEMS-0/nano-core/tree/main/skills/setup/add-parallel
Command: npx skills add https://github.com/0-CYBERDYNE-SYSTEMS-0/nano-core --skill add-parallel-ai-integration-0-cyberdyne-systems-0

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

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

Core Features & Use Cases

  • Quick Search: Perform rapid web lookups using the Parallel Search API.
  • Deep Research: Conduct comprehensive analysis via the Parallel Task API, with user permission.
  • Non-blocking Design: Utilizes the FFT_nano scheduler for asynchronous result polling.
  • Use Case: Ask your assistant to "research the impact of AI on the job market." It will first attempt a quick search for recent news, and if more depth is needed, it will ask for permission to perform a deep research task, providing a summary upon completion.

Quick Start

Provide your Parallel AI API key when prompted to enable enhanced web research.

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 web research into an agent runtime?▼

To integrate Parallel AI web research, you configure HTTP MCP servers and update allowed tools in the FFT_nano agent runner. This enables quick web searches and deep analytical task execution within the runtime.

Do I need an API key to use Parallel AI for task automation?▼

Yes, you need a Parallel AI API key for authentication. You must provide this key when prompted and ensure proper environment variable setup to enable enhanced web research capabilities.

How does non-blocking web research work with MCP servers?▼

Non-blocking web research uses the FFT_nano scheduler for asynchronous result polling. This design allows the agent runtime to perform rapid web lookups and deep analysis without blocking ongoing processes.

What is the difference between quick search and deep research in API integration?▼

Quick search performs rapid web lookups using the Parallel Search API, while deep research conducts comprehensive analysis via the Parallel Task API. Deep research requires user permission before execution and provides a summary upon completion.

Can I use Parallel AI with the FFT_nano scheduler for deep analytical tasks?▼

Yes, Parallel AI integrates with the FFT_nano scheduler to execute deep analytical tasks. It configures HTTP MCP servers to handle comprehensive analysis requests asynchronously, returning results without blocking the runtime.

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