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What You Can Do

Unlike the claude.ai web version, Claude Desktop connects to Linkly AI directly via local MCP — no remote tunnel needed, lower latency. Ask “What have I recorded about XX?” during daily work, and Linkly AI’s search tool instantly searches all your notes on your computer for a faster response.
Claude excels at processing very long text. Use Linkly AI’s outline tool to first view the table of contents of a manuscript or report, then use read to carefully read key chapters — far more efficient than pasting the entire text, and without hitting context length limits.
Claude Desktop supports connecting to multiple MCP servers simultaneously. Linkly AI can work together with filesystem MCP, database MCP, and more, allowing Claude to access your knowledge base, local files, and other data sources all in one conversation, completing more complex tasks.

Prerequisites

  • Claude Desktop installed (Claude Cowork is Claude Desktop; requires Claude Pro or higher subscription)
  • Linkly AI Desktop running with the MCP service active

Configuration Steps

We recommend also installing Linkly AI Skills to teach the AI assistant how to efficiently use Linkly AI’s tools, improving search and reading efficiency.

Getting Started

Once configured, ask questions directly in a Claude Cowork conversation, and Claude will automatically call Linkly AI’s tools to search and read your local documents. For example:
  • “Search my documents for content about project design”
  • “Read my requirements document and help me summarize the key points”

FAQ

Please confirm: 1. The configuration file JSON format is correct (you can use a JSON validator to check) 2. Claude has been fully quit and restarted (not just closing the window — quit from the menu) 3. Linkly AI Desktop is running with the MCP service active
Make sure you have installed Linkly AI CLI and that the linkly command is available in your PATH. You can run linkly --version in the terminal to verify the installation.