system_information_mcp

system_information_mcp

4
developer_toolsos_automationcloud_platformsvirtualizationdatabasessecuritycommunication

The DevEnvInfoServer is a Model Context Protocol (MCP) server designed to provide comprehensive information about a development environment to the Cursor code editor. It supports various categories, including system hardware, installed software, networks, virtualization, and more, enabling Cursor to deliver context-aware assistance.

DevEnvInfoServer - Cursor MCP Server for Development Environment Information

This project implements a Cursor Model Context Protocol (MCP) server that provides detailed information about your development environment to the Cursor code editor. By leveraging this server, Cursor's intelligent agent can gain a deeper understanding of your system's configuration, installed tools, and running processes, enabling more context-aware and helpful assistance.

Features

  • System Information: Operating system details, hardware information, Python versions, installed package managers, and locale information.
  • Development Environment Details: Compilers, interpreters, Jupyter kernels, virtual machines, and GPU details.
  • Python Specific Information: Installed Python packages, site-package locations, and active environments.
  • Package Manager Details: Homebrew packages and global packages.
  • Configuration and Dotfiles: Configuration files for shells, Git, NPM, and editors.
  • Installed Applications: IDEs and system applications.
  • System and Hardware Performance: CPU load, battery management, temperature sensors.
  • Network and Security: Network services, VPN settings, SSH keys.
  • Containerization and Virtualization: Docker, WSL, Kubernetes, virtual machines.
  • Development Tools and Languages: Installed languages and version management tools.
  • Debugging and Performance Monitoring: Debugger tools, load averages, memory usage.
  • Version Control and CI/CD: Git configuration and CI/CD files.
  • Cloud and Remote Development: SSH configurations, cloud SDKs, remote environments.
  • Code Execution and Debugging: Debugger sessions and tools.
  • Build Systems and Dependency Management: Build tools and dependency files.
  • Infrastructure and DevOps Tools: Kubernetes configuration, DevOps tools, local databases.
  • Testing and Quality Assurance: Testing frameworks and code linters.
  • Machine Learning and AI Development: GPU and CUDA information, PyTorch and TensorFlow status.
  • Embedded Development / IoT: Embedded SDKs, connected devices.
  • Productivity and Workflow Enhancements: Shell aliases, history analysis, task scheduling.

How it Works

  • MCP Protocol: Implements MCP for communication with Cursor.
  • Stdio Transport: Uses standard input and output streams for communication.
  • Information Gathering: Executes system commands and libraries to collect data.
  • Tool-Based Access: Information categories exposed as tools within MCP server.
  • Markdown Output (Optional): Generates a Markdown file with collected information.
  • Cursor Integration: Cursor uses the server to enhance development context understanding.

Installation

  1. Clone the repository and navigate to the directory.
  2. Create and activate a Python virtual environment.
  3. Install dependencies using the requirements.txt file.

Configuration for Cursor

  1. Open Cursor settings and navigate to the MCP section.
  2. Add and configure DevEnvInfoServer as an MCP server.
  3. Refresh the tool list if necessary.

Usage in Cursor

  • Automatic Tool Usage: Cursor's Agent automatically uses tools when needed.
  • Intentional Tool Prompting: Instruct the Agent explicitly to use the tools.
  • Tool Approval: Cursor asks for your approval before executing tools unless YOLO Mode is enabled.
  • YOLO Mode (Optional): Allows automatic tool execution without approval prompts.