What problem does it solve?
It solves the need for faster, higher-quality web research inside NanoClaw by integrating Parallel AI’s search and deep-research MCP tools.
Core Features & Use Cases
- Quick Search MCP: Enables fast web lookups for factual questions and current information without extra permission.
- Deep Research (Task API) MCP: Supports comprehensive analysis and structured learning with an explicit user permission gate.
- Non-blocking scheduling: Uses NanoClaw’s scheduler and polling flow so long-running research does not block the container.
Use case example: Ask for a market update and then request an in-depth explanation of the underlying technology; the assistant can use quick search for the overview and deep research (with permission) for the detailed synthesis.
Quick Start
Tell the assistant inside Claude Code: “Confirm you want to integrate Parallel AI tools, then guide me through adding my Parallel API key and enabling MCP web research.”