Atlas MCP Server

Enterprise-Grade Agentic AI Pipeline for Modern IDEs

Advanced AI/ML-powered development tools with RAG search, ML bug prediction, intelligent code migration, and comprehensive test generation.

Installation • Features • Tools • Usage • Documentation

Overview

Atlas MCP Server transforms your IDE with intelligent development capabilities through a comprehensive analysis pipeline:

Intent → Context → Decomposition → Variants → Critique → Optimization

Natively integrated with Cursor, Windsurf, Claude Desktop, GitHub Copilot, and VS Code.

Related MCP server: FastApply MCP Server

What's New in Latest Version

Advanced Development Tools Suite

The latest version introduces six powerful tools designed to address complex development challenges:

New Advanced Analysis Tools:

Enhanced Development Experience:

Frontend Developer Tools

Comprehensive suite for modern frontend development:

Senior Developer Tools

Expert-level guidance and analysis:

AI/ML Powered Tools

Advanced machine learning capabilities:

Core Professional Tools

Essential development utilities:

Key Features

AI/ML Capabilities

• RAG Search - Semantic code understanding with knowledge graphs

• ML Prediction - Bug & performance forecasting (70-85% accuracy)

• Code Migration - 12 intelligent migration types

• Test Generation - Advanced test suites with edge cases

• Bug Oracle - Predictive bug detection and prevention

• Semantic Search - Natural language code discovery

Professional Tools

• Full Pipeline - Intent → Context → Variants → Optimize

• Quality Analysis - Code review, security, complexity

• Performance - Profiling, bottleneck detection

• Automation - Tests, docs, refactoring

• Tech Debt - Quantification and tracking

• Merge Resolution - Intelligent conflict handling

Why Choose Atlas?

• Zero Configuration: No API keys required - leverages your IDE's built-in AI (Copilot/Cursor)

• 33 Professional Tools: Comprehensive suite covering all development needs

• Agentic Workflow: DAG-based task decomposition for complex problems

• Context Aware: Deep project structure, dependencies, and git history analysis

• High Performance: LRU caching, request deduplication, parallel execution

• Enterprise Ready: Production-grade tools with security and compliance features

Installation

Quick Start (Recommended)

Step 1: Install Globally

Open your terminal and run:

npm install -g atlas-pipeline-mcp

Step 2: Run Auto-Setup

Automatically configure your IDE (Cursor or VS Code):

atlas-mcp-setup

Step 3: Restart IDE

Restart your editor. The Atlas server will be automatically connected and ready to use.

Available Tools

Advanced Development & Analysis Tools

AI/ML Powered Tools

Core Pipeline & Analysis Tools

Quality & Optimization Tools

Senior Developer Tools

UI/UX Design Tools

Frontend Developer Tools

Development Productivity Tools

Utility Tools

Usage Guide

Once installed, interact with your AI Assistant (Copilot Chat or Cursor Chat). The appropriate tool is automatically activated based on your request.

Advanced Development Tools

AI/ML Tools

Professional Development Tools

Advanced Integration

Using Local LLMs

If you prefer running models locally (e.g., Ollama) or want to use your own API keys instead of your IDE's subscription, configure the server manually in your settings:

{
  "atlas": {
    "command": "npx",
    "args": ["-y", "atlas-pipeline-mcp"],
    "env": {
      "OLLAMA_BASE_URL": "http://localhost:11434",
      "OPENAI_API_KEY": "sk-...",
      "ANTHROPIC_API_KEY": "sk-..."
    }
  }
}

Note: If no API keys are provided, Atlas defaults to Client Sampling mode, delegating generation to your IDE's AI capabilities.

Contributing

We welcome contributions to improve the Atlas pipeline.

• Repository: github.com/IamNishant51/atlas-mcp-server

• Issues: Report bugs or request features on GitHub

• Pull Requests: Submit improvements and new features

License

MIT License - see LICENSE file for details

Built by Nishant Unavane

🌐 Check out my portfolio: nishantunavane.qzz.io

For support, documentation, or questions, visit our GitHub repository.