Professional Context Engine

A comprehensive context management system for AI-powered development, featuring both a Rust-based MCP server and a VS Code extension for intelligent context assistance.

🚀 Quick Start

MCP Context Server

# Build and run the MCP server
cargo run --release

# Or simply run (default mode)
context-server-rs

CLI Mode (OpenClaw Integration)

# Query contexts by task
context-server-rs query --task auth --project myapp --format json

# List all business rules
context-server-rs list business_rule --project myapp

# Search for "pagination"
context-server-rs search "pagination" --project myapp

# Get specific context by ID
context-server-rs get "rule-123" --project myapp

See CLI Usage Guide for complete documentation. Perfect for OpenClaw agent integration and programmatic access.

VS Code Extension

# Build the VS Code extension
./scripts/build-extension.sh  # Linux/Mac
# or
.\scripts\build-extension.ps1  # Windows

# Install the extension
code --install-extension vscode-extension/professional-context-engine-1.0.0.vsix

📦 Repository Structure

├── src/                          # Rust MCP server source code
│   ├── api/                      # HTTP API endpoints
│   ├── context/                  # Context management logic
│   ├── db/                       # Database layer
│   ├── models/                   # Data models
│   ├── repositories/             # Data access layer
│   └── services/                 # Business logic services
├── vscode-extension/             # VS Code extension
│   ├── src/                      # TypeScript source code
│   ├── INSTALLATION.md           # Installation guide
│   ├── QUICK_START.md            # Quick setup guide
│   └── README.md                 # Extension documentation
├── docs/                         # Project documentation
├── examples/                     # Usage examples
├── tests/                        # Integration tests
├── scripts/                      # Build and utility scripts
│   ├── build-extension.sh         # Extension build script (Linux/Mac)
│   ├── build-extension.ps1        # Extension build script (Windows)
└── README.md                     # This file

🎯 Features

MCP Context Server

• Model Context Protocol (MCP) compliant - Works with Claude Desktop, Cursor IDE, and other MCP clients
• Intelligent context management - Store, query, and analyze project context
• Real-time synchronization - WebSocket support for live updates
• Advanced search - Semantic and full-text search capabilities
• Plugin architecture - Extensible with custom plugins
• Multi-project support - Manage context across multiple projects

CLI Interface (NEW!)

• Dual-mode binary - Runs as MCP server or CLI tool automatically
• OpenClaw integration - Designed for autonomous agent workflows
• Multiple output formats - JSON (programmatic), Text (terminal), YAML (config)
• Fast query execution - ~10-500ms per context query from database
• SOLID architecture - Trait-based design for extensibility
• Command types - Query (task-based), List (type-based), Search (full-text), Get (ID-based)

See CLI Quick Reference and OpenClaw Integration Guide

VS Code Extension

• Real-time context suggestions - Hover and code action providers
• Intelligent file monitoring - Automatic analysis of code changes
• Context creation - Create context entries from selected code
• Project insights - Analytics dashboard for context health
• Team collaboration - Real-time synchronization across team members
• Custom analysis rules - Configure project-specific context extraction

🔧 Installation & Setup

Prerequisites

• Rust 1.70+ (for MCP server)
• Node.js 16+ (for VS Code extension)
• VS Code 1.74+ (for extension)

MCP Context Server

1. Clone and build:

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   git clone <repository-url>
   cd professional-context-engine
   cargo build --release
   

2. Run the server:

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   cargo run --release
   

3. Configure MCP clients (see MCP Integration Guide)

VS Code Extension

1. Build the extension:

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   # Linux/Mac
   ./scripts/build-extension.sh
   
   # Windows
   .\scripts\build-extension.ps1
   

2. Install in VS Code:

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   code --install-extension vscode-extension/professional-context-engine-1.0.0.vsix
   

3. Configure the extension:

   • Open VS Code Settings (Ctrl+,)
   • Search for "Context Engine"
   • Set server URL to http://localhost:3000

For detailed setup instructions, see:

• VS Code Extension Installation Guide
• VS Code Extension Quick Start

🔌 MCP Integration

Claude Desktop

Add to your Claude Desktop configuration:

Windows: %APPDATA%\Claude\claude_desktop_config.json macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "context-server": {
      "command": "path/to/your/context-server-executable",
      "args": [],
      "env": {}
    }
  }
}

Cursor IDE

Configure in Cursor's MCP settings:

{
  "mcpServers": {
    "context-server": {
      "command": "cargo",
      "args": ["run", "--release"],
      "cwd": "/path/to/professional-context-engine"
    }
  }
}

🛠️ Development

Building from Source

# Build MCP server
cargo build --release

# Build VS Code extension
cd vscode-extension
npm install
npm run compile
npx vsce package

Running Tests

# Run Rust tests
cargo test

# Run VS Code extension tests
cd vscode-extension
npm test

Development Workflow

1. MCP Server Development:

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   # Run in development mode
   cargo run
   
   # Run with debug logging
   RUST_LOG=debug cargo run
   

2. VS Code Extension Development:

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   cd vscode-extension
   npm run watch  # Compile in watch mode
   # Then press F5 in VS Code to launch extension host
   

📚 Documentation

• CLI Usage Guide - Complete CLI command reference
• CLI Quick Reference - One-liners and common workflows
• OpenClaw Integration Guide - Setup with Telegram & AI agents
• Dual-Mode Operation Guide - MCP server and CLI usage
• Deployment Guide
• Shipping Guide
• Production Readiness
• VS Code Extension Guide

🤝 Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests for new functionality
5. Ensure all tests pass
6. Submit a pull request

See CONTRIBUTING.md for detailed guidelines.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🆘 Support

• Issues: Report bugs and request features via [GitHub Issues]
• Documentation: Check the docs/ directory
• Examples: See examples/ for usage examples

🎯 Roadmap

• Enhanced semantic search capabilities
• Additional IDE integrations (IntelliJ, Vim)
• Cloud deployment options
• Advanced analytics and reporting
• Machine learning-powered context suggestions

Built with ❤️ for developers who love intelligent, context-aware coding assistance.