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Releases: sdirishguy/MCPHelperSublimePlugin

MCPHelper v1.0.1 - Enhanced Features and Documentation

02 Aug 15:05
@sdirishguy sdirishguy
v1.0.1
0eea0ab

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MCPHelper v1.0.1 - Enhanced Features and Documentation Latest
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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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v1.0.0

16 Jun 04:39
@sdirishguy sdirishguy
v1.0.0
185e220

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v1.0.0

This is the first official release of MCPHelper, a lightweight Sublime Text plugin that connects your editor to a local Model Context Protocol (MCP) server. It brings the power of modern LLMs like OpenAI’s GPT-4o and Google Gemini directly into your coding environment — no browser tabs, no distractions.

✨ Features
🔧 Command Palette Integration
Easily run MCP tools like “Generate Code”, “Review Code”, “Refactor Code”, or “Translate Code” on selected text.

⚙️ LLM Tool Support
Uses your own OpenAI or Gemini API keys via your local MCP server.

🧠 Code Intelligence via JSON-RPC
Designed to be flexible and fast — your local server handles authentication, execution, and response parsing.

💬 Fully threaded
All tool calls run in the background to keep the Sublime UI smooth and responsive.

🖼️ Screenshot included
Preview what the plugin looks like in action.

📦 Requirements
This plugin does not work out-of-the-box with OpenAI or Gemini.

To use it, you’ll need:

A local MCP server running on http://localhost:8000/mcp.json/

One or more tools registered (e.g., llm_generate_code_openai)

Your own API keys for OpenAI or Google Gemini set up in the server config

🛠 Example Use Cases
Generate boilerplate code or templates

Review existing code for improvements or security issues

Refactor legacy code for readability and maintainability

Translate code snippets between languages (e.g., Python → Bash)

🗺 Roadmap Highlights (Future Ideas)
💡 Optional tool autodiscovery

📁 Remote/Cloud MCP compatibility

🧪 Custom user prompts and presets

🔄 VS Code and NeoVim ports

Feel free to fork it, open issues, or contribute. Built to scratch my own itch — now shared for the community. 🛠

—
David Donohue
github.com/sdirishguy

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