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)

npx build-mcp-server

Local Development

git clone <your-repo-url>
cd build-mcp-server
npm install
npm run build

Configuration

Add this server to your MCP configuration file:

{
  "mcpServers": {
    "build-server": {
      "command": "npx",
      "args": [
        "-y",
        "build-mcp-server"
      ],
      "env": {}
    }
  }
}

Or for local development:

{
  "mcpServers": {
    "build-server": {
      "command": "node",
      "args": [
        "/path/to/build-mcp-server/dist/index.js"
      ],
      "env": {}
    }
  }
}

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 build command "npm run build" in the current directory

`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:

Run tests using "yarn test" in the ./frontend directory

`check_package_json`

Analyze package.json files and extract key information.

Parameters:

directory (string, optional): Directory containing package.json (default: current directory)

Example:

Check package.json in the current directory

`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:

Install dependencies using yarn in the ./backend directory

`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:

Run linting with "eslint ." command

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:

# Clone and install
git clone <repo-url>
cd build-mcp-server
npm install

# Development with auto-reload
npm run dev

# Build for production
npm run build

# Test the server
npm start

License

MIT

Deploy Server

HTTP connection URL

security – no known vulnerabilities

license - not found

quality - confirmed to work

How are these scores calculated?

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

Tools

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.

Related MCP Servers

CodeSavant
twolven
-
security
A
license
-
quality
Provides 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
MIT License
Project Explorer MCP Server
MausRundung362
A
security
A
license
A
quality
Provides tools for analyzing project structures, searching through codebases, managing dependencies, and performing file operations with advanced filtering capabilities.
Last updated -
6
160
1
MIT License
Hi-AI
su-record
A
security
F
license
A
quality
A simple AI development tool that helps users interact with AI through natural language commands, offering 29 tools across thinking, memory, browser, code quality, planning, and time management capabilities.
Last updated -
33
8
Spec Workflow MCP
Pimzino
A
security
A
license
A
quality
Provides structured spec-driven development workflow tools for AI-assisted software development with sequential spec creation (Requirements → Design → Tasks). Features a real-time web dashboard for monitoring project progress and managing development workflows.
Last updated -
14
1,359
493
GPL 3.0

View all related MCP servers

Appeared in Searches

Resources or assistance for coding help

Build MCP Server

Build MCP Server

Features

Installation

From GitHub (Recommended)

Local Development

Configuration

Available Tools

`run_build`

`run_test`

`check_package_json`

`install_dependencies`

`lint_code`

Usage Examples

Error Handling

Security

Development

License

Tools

Related MCP Servers

CodeSavant

Project Explorer MCP Server

Hi-AI

Spec Workflow MCP

Appeared in Searches

New MCP Servers

MCP directory API