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Add Parallel AI Integration

Integrate Parallel AI search and task APIs into NanoClaw with scheduled polling.

Updated Feb 24, 2026
Search Tags:#mcp#docker#web-research#api-key#scheduler#nanoclaw#parallel-ai
One-click install
npx skills add https://github.com/webboty/flexclaw --skill add-parallel-ai-integration-webboty
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Add Parallel AI Integration
Source: https://github.com/webboty/flexclaw/tree/main/.claude/skills/add-parallel
Command: npx skills add https://github.com/webboty/flexclaw --skill add-parallel-ai-integration-webboty

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides NanoClaw agents with integrated access to Parallel AI's search and task APIs so agents can perform fast factual lookups and long-running deep research without blocking container execution.

Core Features & Use Cases

  • Quick Search: Use Parallel Search API for fast web lookups and current-event queries to answer facts, definitions, and news.
  • Deep Research: Use Parallel Task API to run longer, comprehensive research tasks with explicit user permission and return structured results with citations.
  • Non-blocking Scheduler: Offload long-running task polling to NanoClaw's scheduler to avoid blocking agent containers and send results asynchronously.
  • Configuration Changes: Adds PARALLEL_API_KEY management in .env, updates container-runner allowed environment variables, and configures HTTP MCP servers and tool allowlists in the agent runner.

Quick Start

Ask the assistant to perform a quick web search for "latest AI news" and permit use of Parallel Search when offered.

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 web search APIs into NanoClaw agents without blocking container execution?▼

You can integrate Parallel AI search and task APIs into NanoClaw to enable fast factual lookups and scheduled deep research workflows. Long-running task polling is offloaded to NanoClaw's scheduler to avoid blocking agent containers.

How does the Non-blocking Scheduler handle long-running deep research tasks in NanoClaw?▼

The Non-blocking Scheduler in NanoClaw offloads long-running task polling to avoid blocking container execution. It polls Parallel AI task runs asynchronously and sends results back without halting agent operations.

What environment variables do I need to configure for Parallel AI integration in NanoClaw?▼

You need to manage the PARALLEL_API_KEY in your environment configuration. The integration updates container-runner allowedVars and agent-runner MCP server settings to properly pass the API key to NanoClaw agents.

Can I use Parallel AI for both quick web lookups and comprehensive topic analysis?▼

Yes, you can use the Parallel Search API for fast web lookups and current-event queries, and the Parallel Task API to run longer, comprehensive deep research tasks that return structured results with citations.

How do I start a quick web search using Parallel AI in NanoClaw?▼

To start a quick web search, ask the assistant to perform a lookup for your query, such as "latest AI news", and explicitly permit the use of Parallel Search when the tool is offered by the agent.

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