Aindreyway MCP Codex Keeper

An intelligent MCP server that serves as a guardian of development knowledge, providing AI assistants with curated access to latest documentation and best practices.

🚀 Quick Start

Prerequisites

1. Make sure you have Node.js installed (version 18 or higher):

   node --version

2. Install or update npm (comes with Node.js):

   npm install -g npm@latest

3. Verify npx is available:

   npx --version

   If not found, install it:

   npm install -g npx

Configuration

Add this to your Cline/Sonnet configuration:

"aindreyway-codex-keeper": {
  "command": "npx",
  "args": ["-y", "@aindreyway/mcp-codex-keeper@latest"],
  "disabled": false,
  "env": {
    "npm_config_cache_max": "1024000000",
    "NODE_OPTIONS": "--max-old-space-size=256"
  }
}

That's it! The assistant will handle everything automatically.

Note: This server uses npx for direct npm package execution, which is optimal for Node.js/TypeScript MCP servers, providing seamless integration with the npm ecosystem and TypeScript tooling.

Related MCP server: Docfork

🎯 What Your Assistant Can Do

Ask your assistant to:

• "Show me the latest React documentation"

• "Find best practices for TypeScript development"

• "Update documentation for Node.js"

• "Search for information about async/await"

🛠 Available Tools

list_documentation

Lists all available documentation sources with optional category filtering.

add_documentation

Add new documentation sources to the knowledge base.

update_documentation

Update existing documentation to get the latest content.

search_documentation

Search through documentation with category filtering.

📚 Documentation Categories

• Frontend

• Backend

• Language

• MCP

• MCP-Guide

• Database

• DevOps

• Security

• Testing

• Architecture

• Mobile

• AI

• Cloud

🔧 Features

The server automatically:

• Manages documentation from various sources

• Keeps track of latest development best practices

• Provides intelligent search capabilities

• Updates documentation automatically

• Supports tagging and categorization

• Optimizes memory usage:

  • Uses streaming for large files

  • Automatic cache cleanup

  • Memory-efficient search

  • Size and age limits for cached files

  • Limited heap size (256MB)

📝 License

MIT License - feel free to use this in your projects!

👤 Author

aindreyway

• GitHub: @aindreyway

📖 Documentation

• User Guide - Installation and usage instructions

• Contributing Guide - How to contribute to the project

• Technical Documentation - Detailed technical information

⭐️ Support

Give a ⭐️ if this project helped you! If you want to contribute, please check our Contributing Guide.