With the rapid advancement of LLMs, AI applications like Trae, Cursor, Cline, Windsurf, and others have been thriving. However, due to the large scale of monorepos and the context limitations of LLMs, it’s difficult for these models to fully understand your monorepo. This is where @rushstack/mcp-server comes in — by providing a suite of MCP tools, it enables LLMs to better comprehend your monorepo and assist you more effectively with daily development tasks in a Rush-based monorepo environment.

Usage

To get the best results, copy the .cursor directory into the root of your project.
Configure @rushstack/mcp-server in your AI application

{
  "mcpServers": {
    "rush": {
      "command": "npx",
      "args": ["-y", "@rushstack/mcp-server", "your-project-path"]
    }
  }
}

Congratulations 🎉 You’ve completed the setup — Rush MCP is now ready to use!

Available Tools

rush_docs: Retrieves relevant documentation sections based on your queries
rush_workspace_details: Retrieve detailed workspace information
rush_project_details: Get detailed information about a specific project
rush_command_validator: Validate whether commands are compliant and follow best practices
rush_migrate_project: Migrate a project from one directory to another or into a different subspace
rush_pnpm_lock_file_conflict_resolver: Resolve pnpm-lock.yaml conflicts

Keywords

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Package last updated on 04 Feb 2026

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Install

@rushstack/mcp-server