What You Can Do
Search local documents during task execution
Search local documents during task execution
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.
Use local materials in planning mode
Use local materials in planning mode
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.
Prerequisites
- QwenPaw installed
- Linkly AI Desktop running with the MCP service active
Configuration Steps
- Local MCP HTTP (Recommended)
- Remote MCP
- CLI Stdio (Fallback)
1
Open MCP configuration
Open the QwenPaw console, go to Agent → MCP, and click + Create.
2
Paste the configuration and create
Paste the following JSON in the dialog, then click Create:
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
Tools not working after creation
Tools not working after creation
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.
CLI mode: command not found
CLI mode: command not found
Confirm that Linkly AI CLI is correctly installed (verify with
linkly --version) and that Node.js version ≥ 18 (node --version).Can I import multiple MCP configurations at once
Can I import multiple MCP configurations at once
Yes. QwenPaw supports configuring multiple MCP clients in the
mcpServers object of a single JSON — one click creates them all at once.