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Context Engine MCP Server

A production-ready TypeScript MCP server that provides comprehensive project analysis, intelligent code search, dependency tracking, and coordinated multi-file editing capabilities.

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Scored 6 months ago · breakdown

About Context Engine MCP Server

Context Engine MCP Server is an MCP server in the Search category: a production-ready TypeScript MCP server that provides comprehensive project analysis, intelligent code search, dependency tracking, and coordinated multi-file editing capabilities.

Install

From source
git clone https://github.com/RaheesAhmed/Context-Engine-MCP-Server

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (6)

analyze_projectComprehensive project analysis with caching

Parameters not published.

clear_cacheClear all cached project data

Parameters not published.

edit_multiple_filesAtomic multi-file editing with backups

Parameters not published.

get_file_relationshipsFile dependency and import/export mapping

Parameters not published.

get_project_statsDetailed project metrics and health insights

Parameters not published.

search_projectIntelligent search across project files

Parameters not published.

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README

Context Engine MCP Server

A production-ready TypeScript MCP server providing comprehensive project analysis, intelligent search, multi-file editing, and dependency mapping capabilities.

✅ Fully Tested & Verified

Features

  • 🔍 Comprehensive Project Analysis - Deep analysis of project structure, dependencies, and codebase
  • 🔎 Intelligent Search - Advanced search with regex support and structural awareness
  • 📝 Multi-file Editing - Atomic operations across multiple files with automatic backups
  • 🔗 Dependency Mapping - Complete file relationship and import/export analysis
  • 📊 Project Statistics - Detailed metrics and code health insights
  • ⚡ High Performance - Intelligent caching and optimized processing
  • 🛠️ Production Ready - Comprehensive error handling and logging

Quick Start

🚀 Using npx (Recommended & Tested)

No installation required! Just add this configuration to your MCP client:

{
  "mcpServers": {
    "context-engine": {
      "command": "npx",
      "args": ["-y", "context-engine-mcp"]
    }
  }
}

Alternative: Global Installation

  1. Install globally:

    npm install -g context-engine-mcp
    
  2. Configure your MCP client:

    {
      "mcpServers": {
        "context-engine": {
          "command": "context-engine-mcp"
        }
      }
    }
    

Local Development

  1. Clone and build:

    git clone https://github.com/RaheesAhmed/Context-Engine-MCP-Server.git
    cd Context-Engine-MCP-Server
    npm install
    npm run build
    
  2. Configure with local path:

    {
      "mcpServers": {
        "context-engine": {
          "command": "node",
          "args": ["./dist/index.js"]
        }
      }
    }
    

MCP Client Integration

Cline (VSCode Extension)

Add to: C:\Users\{USERNAME}\AppData\Roaming\Code\User\globalStorage\saoudrizwan.claude-dev\settings\cline_mcp_settings.json

Claude Desktop

Add to: %APPDATA%\Claude\claude_desktop_config.json

Other MCP Clients

Use the same configuration format shown above.

Available Tools

Tool Description
analyze_project Comprehensive project analysis with caching
search_project Intelligent search across project files
edit_multiple_files Atomic multi-file editing with backups
get_file_relationships File dependency and import/export mapping
get_project_stats Detailed project metrics and health insights
clear_cache Clear all cached project data

Available Resources

Resource URI Description
Project Analysis context://project-analysis Project structure and context data
Search Results context://search-results Intelligent search capabilities
File Relationships context://file-relationships Dependency mapping information
Project Statistics context://project-stats Health metrics and insights

Usage Examples

1. Analyze a Project

// Tool: analyze_project
{
  "projectPath": "/path/to/your/project",
  "forceRefresh": false
}

2. Search Code

// Tool: search_project
{
  "projectPath": "/path/to/your/project",
  "query": "function.*Component",
  "caseSensitive": false,
  "includeStructure": true
}

3. Edit Multiple Files

// Tool: edit_multiple_files
{
  "projectPath": "/path/to/your/project",
  "changes": [
    {
      "filePath": "src/components/Header.tsx",
      "action": "update",
      "content": "// Updated component code",
      "backup": true
    },
    {
      "filePath": "src/types/index.ts",
      "action": "create",
      "content": "export interface NewType {}"
    }
  ]
}

Configuration

The server includes intelligent defaults and can be configured through environment variables:

  • LOG_LEVEL: Set logging level (debug, info, warn, error)
  • CACHE_TTL: Cache time-to-live in milliseconds
  • MAX_FILE_SIZE: Maximum file size to analyze (bytes)

Requirements

  • Node.js 18.x or higher
  • TypeScript 5.x (for development)

Development

Setup

git clone https://github.com/RaheesAhmed/Context-Engine-MCP-Server.git
cd Context-Engine-MCP-Server
npm install

Available Scripts

npm run build          # Build the project
npm run dev            # Development with watch mode
npm run test           # Run tests
npm run test:coverage  # Run tests with coverage
npm run lint           # Run ESLint
npm run format         # Format with Prettier

Testing

# Run all tests
npm test

# Test with coverage
npm run test:coverage

# Watch mode
npm run test:watch

Architecture

Core Components

  • Context Engine: Central orchestrator for all operations
  • File Manager: Handles file I/O and batch operations
  • Language Analyzer: Parses and analyzes code structure
  • Cache Manager: Intelligent caching system for performance

Design Patterns

  • Modular Architecture: Clear separation of concerns
  • Error Handling: Comprehensive error management
  • Async/Await: Modern asynchronous programming
  • Type Safety: Full TypeScript implementation

Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License

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

Support

  • 📧 Issues: GitHub Issues
  • 📚 Documentation: Visit our website for more details
  • 🔧 Troubleshooting: Check the troubleshooting section in the setup guide

Testing & Verification

This MCP server has been extensively tested and verified to work flawlessly:

✅ Proven Results:

  • 85 files analyzed successfully in test runs
  • 288 functions and 14 classes detected accurately
  • 25,053 lines of code processed efficiently
  • 80% cache hit rate demonstrating excellent performance
  • Zero installation required - works perfectly with npx -y

🧪 Test Scenarios:

  • ✅ Fresh project analysis with comprehensive metrics
  • ✅ Intelligent search with regex patterns and context
  • ✅ File relationship mapping and dependency analysis
  • ✅ Project statistics with health insights
  • ✅ Multi-language support (TypeScript, JavaScript, text files)
  • ✅ Cross-platform compatibility (Windows, Mac, Linux)

Changelog

v2.0.0

  • ✨ Production-ready release with comprehensive testing
  • 🚀 Zero-installation npx -y approach (fully verified)
  • 🔧 Enhanced error handling and logging
  • 📊 Comprehensive project statistics and health metrics
  • ⚡ Performance optimizations with intelligent caching
  • 🛠️ Multi-file editing capabilities with atomic operations
  • ✅ Extensive testing and verification completed
  • 📖 Updated documentation with proven configurations

Made with ❤️ by Rahees Ahmed

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Context Engine MCP Server

How do I install Context Engine MCP Server?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Context Engine MCP Server safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Context Engine MCP Server still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.