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MCP server for collecting and documenting code from directories","maintainers":[{"name":"aindreyway","email":"aindreyway@gmail.com"}],"readme":"# MCP Neurolora\n\n![MCP Server](https://img.shields.io/badge/MCP-Server-blue)\n![Version](https://img.shields.io/badge/version-1.4.0-green)\n![License](https://img.shields.io/badge/license-MIT-blue)\n\nAn intelligent MCP server that provides tools for code analysis using OpenAI API, code collection, and documentation generation.\n\n## 🚀 Installation Guide\n\nDon't worry if you don't have anything installed yet! Just follow these steps or ask your assistant to help you with the installation.\n\n### Step 1: Install Node.js\n\n#### macOS\n\n1. Install Homebrew if not installed:\n   ```bash\n   /bin/bash -c \"$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)\"\n   ```\n2. Install Node.js 18:\n   ```bash\n   brew install node@18\n   echo 'export PATH=\"/opt/homebrew/opt/node@18/bin:$PATH\"' >> ~/.zshrc\n   source ~/.zshrc\n   ```\n\n#### Windows\n\n1. Download Node.js 18 LTS from [nodejs.org](https://nodejs.org/)\n2. Run the installer\n3. Open a new terminal to apply changes\n\n#### Linux (Ubuntu/Debian)\n\n```bash\ncurl -fsSL https://deb.nodesource.com/setup_18.x | sudo -E bash -\nsudo apt-get install -y nodejs\n```\n\n### Step 2: Install uv and uvx\n\n#### All Operating Systems\n\n1. Install uv:\n\n   ```bash\n   curl -LsSf https://astral.sh/uv/install.sh | sh\n   ```\n\n2. Install uvx:\n   ```bash\n   uv pip install uvx\n   ```\n\n### Step 3: Verify Installation\n\nRun these commands to verify everything is installed:\n\n```bash\nnode --version  # Should show v18.x.x\nnpm --version   # Should show 9.x.x or higher\nuv --version    # Should show uv installed\nuvx --version   # Should show uvx installed\n```\n\n### Step 4: Configure MCP Server\n\nYour assistant will help you:\n\n1. Find your Cline settings file:\n\n   - VSCode: `~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json`\n   - Claude Desktop: `~/Library/Application Support/Claude/claude_desktop_config.json`\n   - Windows VSCode: `%APPDATA%/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json`\n   - Windows Claude: `%APPDATA%/Claude/claude_desktop_config.json`\n\n2. Add this configuration:\n   ```json\n   {\n     \"mcpServers\": {\n       \"aindreyway-mcp-neurolora\": {\n         \"command\": \"npx\",\n         \"args\": [\"-y\", \"@aindreyway/mcp-neurolora@latest\"],\n         \"env\": {\n           \"NODE_OPTIONS\": \"--max-old-space-size=256\",\n           \"OPENAI_API_KEY\": \"your_api_key_here\"\n         }\n       }\n     }\n   }\n   ```\n\n### Step 5: Install Base Servers\n\nSimply ask your assistant:\n\"Please install the base MCP servers for my environment\"\n\nYour assistant will:\n\n1. Find your settings file\n2. Run the install_base_servers tool\n3. Configure all necessary servers automatically\n\nAfter the installation is complete:\n\n1. Close VSCode completely (Cmd+Q on macOS, Alt+F4 on Windows)\n2. Reopen VSCode\n3. The new servers will be ready to use\n\n> **Important:** A complete restart of VSCode is required after installing the base servers for them to be properly initialized.\n\n> **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.\n\n## Base MCP Servers\n\nThe following base servers will be automatically installed and configured:\n\n- fetch: Basic HTTP request functionality for accessing web resources\n- puppeteer: Browser automation capabilities for web interaction and testing\n- sequential-thinking: Advanced problem-solving tools for complex tasks\n- github: GitHub integration features for repository management\n- git: Git operations support for version control\n- shell: Basic shell command execution with common commands:\n  - ls: List directory contents\n  - cat: Display file contents\n  - pwd: Print working directory\n  - grep: Search text patterns\n  - wc: Count words, lines, characters\n  - touch: Create empty files\n  - find: Search for files\n\n## 🎯 What Your Assistant Can Do\n\nAsk your assistant to:\n\n- \"Analyze my code and suggest improvements\"\n- \"Install base MCP servers for my environment\"\n- \"Collect code from my project directory\"\n- \"Create documentation for my codebase\"\n- \"Generate a markdown file with all my code\"\n\n## 🛠 Available Tools\n\n### analyze_code\n\nAnalyzes code using OpenAI API and generates detailed feedback with improvement suggestions.\n\nParameters:\n\n- `codePath` (required): Path to the code file or directory to analyze\n\nExample usage:\n\n```json\n{\n  \"codePath\": \"/path/to/your/code.ts\"\n}\n```\n\nThe tool will:\n\n1. Analyze your code using OpenAI API\n2. Generate detailed feedback with:\n   - Issues and recommendations\n   - Best practices violations\n   - Impact analysis\n   - Steps to fix\n3. Create two output files in your project:\n   - LAST_RESPONSE_OPENAI.txt - Human-readable analysis\n   - LAST_RESPONSE_OPENAI_GITHUB_FORMAT.json - Structured data for GitHub issues\n\n> Note: Requires OpenAI API key in environment configuration\n\n### collect_code\n\nCollects all code from a directory into a single markdown file with syntax highlighting and navigation.\n\nParameters:\n\n- `directory` (required): Directory path to collect code from\n- `outputPath` (optional): Path where to save the output markdown file\n- `ignorePatterns` (optional): Array of patterns to ignore (similar to .gitignore)\n\nExample usage:\n\n```json\n{\n  \"directory\": \"/path/to/project/src\",\n  \"outputPath\": \"/path/to/project/src/FULL_CODE_SRC_2024-12-20.md\",\n  \"ignorePatterns\": [\"*.log\", \"temp/\", \"__pycache__\", \"*.pyc\", \".git\"]\n}\n```\n\n### install_base_servers\n\nInstalls base MCP servers to your configuration file.\n\nParameters:\n\n- `configPath` (required): Path to the MCP settings configuration file\n\nExample usage:\n\n```json\n{\n  \"configPath\": \"/path/to/cline_mcp_settings.json\"\n}\n```\n\n## 🔧 Features\n\nThe server provides:\n\n- Code Analysis:\n\n  - OpenAI API integration\n  - Structured feedback\n  - Best practices recommendations\n  - GitHub issues generation\n\n- Code Collection:\n\n  - Directory traversal\n  - Syntax highlighting\n  - Navigation generation\n  - Pattern-based filtering\n\n- Base Server Management:\n  - Automatic installation\n  - Configuration handling\n  - Version management\n\n## 📄 License\n\nMIT License - feel free to use this in your projects!\n\n## 👤 Author\n\n**Aindreyway**\n\n- GitHub: [@aindreyway](https://github.com/aindreyway)\n\n## ⭐️ Support\n\nGive a ⭐️ if this project helped you!\n","readmeFilename":"README.md"}