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securityA
license-
qualityProvides code manipulation, execution, and version control capabilities. It allows AI assistants to read, write, and execute code while maintaining a history of changes.
Last updated -
9
Python
MIT License
Enables running ESLint code linting and quality checks through the lint_code tool to identify and report code quality issues
Supports running npm commands for building projects, executing tests, installing dependencies, and managing Node.js packages
Enables dependency management using pnpm as an alternative package manager for installing and managing Node.js project dependencies
Provides support for Yarn package manager to install dependencies, run build commands, and execute test suites in development projects
Build MCP Server
A Model Context Protocol (MCP) server that provides build and development tools for AI assistants. This server enables AI agents to run build commands, tests, linting, and manage dependencies in development projects.
Features
- Build Management: Run build commands with customizable parameters
- Test Execution: Execute test suites and report results
- Package Analysis: Read and analyze package.json files
- Dependency Management: Install dependencies using npm, yarn, or pnpm
- Code Linting: Run linting tools and report code quality issues
Installation
From GitHub (Recommended)
Local Development
Configuration
Add this server to your MCP configuration file:
Or for local development:
Available Tools
run_build
Execute build commands in a project directory.
Parameters:
command(string, optional): Build command to run (default: "npm run build")directory(string, optional): Directory to run the build in (default: current directory)
Example:
run_test
Execute test suites in a project directory.
Parameters:
command(string, optional): Test command to run (default: "npm test")directory(string, optional): Directory to run tests in (default: current directory)
Example:
check_package_json
Analyze package.json files and extract key information.
Parameters:
directory(string, optional): Directory containing package.json (default: current directory)
Example:
install_dependencies
Install project dependencies using various package managers.
Parameters:
manager(string, optional): Package manager to use - npm, yarn, or pnpm (default: "npm")directory(string, optional): Directory to install dependencies in (default: current directory)
Example:
lint_code
Run code linting and quality checks.
Parameters:
command(string, optional): Lint command to run (default: "npm run lint")directory(string, optional): Directory to run linting in (default: current directory)
Example:
Usage Examples
Once configured, you can use natural language to interact with the build server:
- "Build the project"
- "Run tests in the frontend directory"
- "Install dependencies using yarn"
- "Check what scripts are available in package.json"
- "Lint the code and show me any issues"
Error Handling
The server provides detailed error messages and output for all operations. Build failures, test errors, and linting issues are clearly reported with full context.
Security
This server executes shell commands in the specified directories. Ensure you trust the environment and commands being executed. The server includes timeout protections to prevent long-running processes.
Development
To contribute or modify the server:
License
MIT
This server cannot be installed
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
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.
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