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@rushstack/mcp-server
Advanced tools
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.
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"]
}
}
}
rush_docs: Retrieves relevant documentation sections based on your queriesrush_workspace_details: Retrieve detailed workspace informationrush_project_details: Get detailed information about a specific projectrush_command_validator: Validate whether commands are compliant and follow best practicesrush_migrate_project: Migrate a project from one directory to another or into a different subspacerush_pnpm_lock_file_conflict_resolver: Resolve pnpm-lock.yaml conflictsFAQs
A Model Context Protocol server implementation for Rush
The npm package @rushstack/mcp-server receives a total of 218 weekly downloads. As such, @rushstack/mcp-server popularity was classified as not popular.
We found that @rushstack/mcp-server demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 4 open source maintainers collaborating on the project.
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