Execute project test commands (e.g., npm test, yarn test) within the AI Development Pipeline MCP to validate code functionality and ensure integration readiness.
Execute whitelisted shell commands (npm, yarn, git, node, npx, tsc, eslint, prettier) in the workspace for streamlined development processes within the AI Development Pipeline MCP.
Install Shadcn UI components using your preferred runtime (npm, pnpm, yarn, bun) by specifying the component name. Simplify UI management through natural language interactions.
Enables AI assistants to manage development workflows by running build commands, executing tests, analyzing package.json files, installing dependencies, and performing code linting. Supports multiple package managers (npm, yarn, pnpm) and provides detailed error reporting for development operations.
Exposes your project's package.json scripts as MCP tools, allowing AI assistants to discover and execute npm/yarn/pnpm/bun scripts directly. Automatically detects your package manager and enables running scripts with optional arguments through natural language commands.
A comprehensive Model Context Protocol server that bridges LLMs with self-hosted media services, enabling natural language control of TV shows, movies, downloads, and notifications while maintaining traditional API access.