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What You Can Do

QwenPaw supports extending tool capabilities through MCP. After connecting Linkly AI, the agent can search your local documents at any time while planning and executing tasks, combining local knowledge with online information to improve output quality.
In QwenPaw’s planning mode, let the agent first retrieve relevant documents through Linkly AI, then create a detailed execution plan — ensuring the plan is built on your real private materials.
QwenPaw supports configuring multiple independent agents. After connecting Linkly AI, each agent can access the same local documents without setting up separate knowledge sources for each.

Prerequisites

  • QwenPaw installed
  • Linkly AI Desktop running with the MCP service active

Configuration Steps

Getting Started

Once configured, ask questions directly in a QwenPaw conversation and the agent will automatically call Linkly AI tools to search and read your local documents. Examples:
  • “Search my documents for content about XX”
  • “Check if my local notes have anything about YY and summarize it”

FAQ

Go to Agent → MCP and confirm the enable toggle for the linkly-ai client is on. Also check that Linkly AI Desktop is running and the MCP service shows Running.
Confirm that Linkly AI CLI is correctly installed (verify with linkly --version) and that Node.js version ≥ 18 (node --version).
Yes. QwenPaw supports configuring multiple MCP clients in the mcpServers object of a single JSON — one click creates them all at once.