
Atlas Pipeline
io.github.IamNishant51Published by GitHub account IamNishant51v1.0.2Updated Oct 24, 2026
7-stage AI pipeline MCP server: Intent→Context→Git→Decompose→Variants→Critique→Optimize
The publisher's own server: Red Atlas Api
Overview
Atlas Pipeline is a local MCP server that gives an assistant a multi-stage code analysis and refactoring pipeline plus dozens of code review, testing…
- What you can do
- Run a staged pipeline: intent analysis, project context gathering, git history analysis, task decomposition, solution variants, critique and optimization
- Analyze and improve code: review, critique, refactor, optimize, explain, debug and large-scale codebase transformation
- Search and predict: semantic and RAG-style code search, bug and performance prediction, technical debt quantification
- Generate artifacts: tests, documentation, TypeScript types, API clients, CSS and animation code, metrics dashboards
- Scan for security issues, dependencies and performance bottlenecks, and resolve git merge conflicts
- Check which LLM providers are available
- When to use it
- Useful when you want an assistant inside an IDE to run structured, multi-step code analysis and refactoring on an existing project, or to get automated review, test generation, security scanning and frontend performance advice without leaving the chat.
- Requirements
- Runs locally as an npm package (atlas-pipeline-mcp) over stdio, installed globally or via npx; a desktop IDE such as Cursor, VS Code, Windsurf or Claude Desktop. Optional credentials: ANTHROPIC_API_KEY, OPENAI_API_KEY, and OLLAMA_BASE_URL for a local Ollama endpoint. Without keys it delegates generation to the IDE's own AI.
Installation
In SourceWeft
- Open Atlas Pipeline in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
Atlas MCP Server
[npm version] [npm downloads] [License: MIT] [TypeScript] [Node.js]
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.
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
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:
Step 2: Run Auto-Setup
Automatically configure your IDE (Cursor or VS Code):
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:
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.
Source: README.md at commit ad86ee1
Tools
0Version history
1- v1.0.2LatestSep 16, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts
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