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MCPHelper v1.0.1 - Enhanced Features and Documentation

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@sdirishguy sdirishguy released this 02 Aug 15:05
· 5 commits to main since this release
v1.0.1
0eea0ab

MCPHelper v1.0.1 - Second Release

🎉 Second Release of MCPHelper

A Sublime Text plugin that connects your editor to a local Model Context Protocol (MCP) server, letting you use OpenAI or Gemini-powered tools directly on selected code.

✨ Features

  • Generate code from plain-text prompts
  • Review code for bugs, security flaws, or improvements
  • Refactor code to enhance readability, maintainability, and performance
  • Translate code between languages like Python, JavaScript, Bash, etc.
  • Configurable settings for MCP server URL, timeouts, and model parameters
  • Menu integration for easy access to all commands
  • Robust error handling with user-friendly error messages
  • Debug mode for troubleshooting

🚀 Installation

Quick Start

  1. Download the MCPHelper-v1.0.1.zip file
  2. Extract to your Sublime Text User packages folder:
    • Windows: %APPDATA%\Sublime Text\Packages\User\
    • macOS: ~/Library/Application Support/Sublime Text/Packages/User/
    • Linux: ~/.config/sublime-text/Packages/User/
  3. Restart Sublime Text
  4. Configure your MCP server (see documentation)

Alternative: Direct GitHub Installation

  1. Open Sublime Text
  2. Press Ctrl+Shift+P
  3. Type "Package Control: Add Repository"
  4. Enter: https://github.com/your-username/MCPHelperSublimePlugin
  5. Then install via "Package Control: Install Package"

📋 Requirements

  • Sublime Text 4 (Build 4000 or higher)
  • Python 3.6+ (usually included with Sublime Text)
  • A running MCP Server with tools like llm_generate_code_openai configured

📖 Usage

  1. Select code in any file

  2. Press Ctrl+Shift+P and choose:

    • MCP: Generate Code
    • MCP: Review Code
    • MCP: Refactor Code
    • MCP: Translate Code

Or use the MCP Helper menu for easy access.

⚙️ Configuration

Open Sublime Text settings:

  • Go to Preferences > Package Settings > MCPHelper > Settings
  • Configure your MCP server URL and model parameters

🔧 Troubleshooting

  • Ensure your MCP server is running at the configured URL
  • Check the console for debug output
  • Use the included test_mcp_connection.py script to verify connectivity

📄 Documentation

🎯 What's New

  • Enhanced error handling and user feedback
  • Improved settings integration and menu system
  • Better documentation and troubleshooting guides
  • Fixed markdown linting issues across all files
  • Updated version management and distribution tools

Note: This plugin requires a running MCP Server on your local machine. You must configure your own OpenAI or Gemini API keys in the MCP server.

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