Development Environment MCP Server

What is Development Environment MCP Server?

A Model Context Protocol (MCP) server that provides intelligent environment detection and command syntax assistance for cross-platform development workflows. It integrates seamlessly with VS Code tasks and GitHub Copilot.

How to use Development Environment MCP Server?

Install via pip (pip install dev-environment-mcp) or from source. Run standalone to get environment summaries or command syntax, or run as an MCP server (stdio or HTTP transport). Configure in VS Code via .vscode/settings.json or .vscode/tasks.json for direct MCP or task integration.

Key features of Development Environment MCP Server

• Automatic environment detection for Windows, Linux, macOS, and Raspberry Pi
• Shell-aware command syntax for PowerShell, Bash, and Zsh
• Seamless integration with VS Code tasks and GitHub Copilot
• Cross-platform: works across Windows, Linux, and macOS
• Extensible with custom environments and operations via configuration

Use cases of Development Environment MCP Server

• Run tests with correct Python command for your OS/shell
• Get environment-specific file manipulation commands
• Set environment variables with proper syntax (export vs $env:)
• Analyze project structure and dependencies for context-aware suggestions
• Deploy to remote or Raspberry Pi targets with correct command syntax

FAQ from Development Environment MCP Server

What transport modes are supported?

The server supports stdio transport (default) and HTTP transport when started with --transport http and a port.

Which shells are supported?

The server provides correct syntax for PowerShell, Bash, and Zsh shells.

Can I add custom environments or operations?

Yes, via a configuration file (dev-env-mcp.json) you can define custom detection commands and per-OS operations.

How do I integrate this server with VS Code?

Add the server to .vscode/settings.json with the MCP server definition, or create tasks in .vscode/tasks.json using the CLI commands.

What are the runtime dependencies?

The server is installed via pip and requires Python. It can be run as a standalone script or as an MCP server.