skyline-GTRr32/claude-better-responses-mcp

🚀 Claude SWE Advisor MCP Server(An agent which makes the responses better for SWEs)

Supercharge Claude for Real Software Engineering.

Improve Claude's coding responses with this MCP server Turn raw prompts into strategic engineering blueprints — with your own intelligent advisor agent.

🧠 What Is This?

I’ve connected Claude (via MCP) to a custom-built Software Engineering Advisor Agent—an external tool that Claude can talk to anytime it needs expert technical guidance during a coding task.

Instead of jumping straight into code, Claude now stops to ask:

“What should I focus on before building this?”

The agent responds with:

Architecture and modularity guidance

Performance and scalability planning

Accessibility and UX considerations

Tech stack trade-offs and risk awareness

✅ The agent does not write code. It gives Claude strategic direction — like a senior engineering consultant would.

The Problem

Claude and other AI assistants jump straight to implementation without strategic thinking:

• ❌ Gives quick fixes instead of strategic solutions
• ❌ Misses performance, security, and scalability concerns
• ❌ Creates technical debt with hasty implementations
• ❌ No architectural consideration or planning
• ❌ No functional/non-functional requirements
• ❌ No architecture or testing plan
• Just "code output" with assumptions

The Solution

An MCP server that makes Claude consult with a senior software engineering advisor agent before doing your coding tasks. This results in more thoughtful, strategic, and comprehensive responses.

⚡ See The Difference

I tested Claude with a simple web development request to demonstrate the dramatic improvement:

Test Question

"Hey, code me a landing page for a dual interface (garage managers and service seekers). These two kinds of people are my clients. I am building a web app to connect garages with users (service seekers)."

❌ Claude's Default Response (Direct Implementation)

Requirements Gathering & Analysis:

• Informal Requirements: Based directly on user request without structured analysis
• Assumption-Based: Made design decisions based on common landing page patterns
• Single Developer Perspective: Only my interpretation of requirements
• No Stakeholder Input: Didn't simulate consultation with different perspectives

Technical Approach:

• Architecture: Monolithic single-file approach
• Documentation: Minimal inline comments
• Testing Strategy: None specified
• Maintenance Plan: Not addressed

✅ Claude + Engineering Advisor Agent (Strategic Approach)

• Functional Requirements (FRs) + NFRs
• Modular Architecture (PWA-ready)
• Performance goals (60 FPS, <3s load)
• WCAG 2.1 accessibility compliance
• Error handling, analytics, test strategy
• 15–20 pages of doc-style structured thinking

Requirements Gathering & Analysis:

• Structured Requirements Elicitation: Used software engineer agent to analyze and expand requirements
• Stakeholder Simulation: Agent acted as technical consultant providing expert perspective
• Requirement Decomposition: Broke down into functional, non-functional, and technical requirements
• Risk Analysis: Considered performance, accessibility, and scalability factors

Detailed Functional Requirements:

• FR1: Dual Interface System

  • FR1.1: Garage Manager portal section
  • FR1.2: Service Seeker portal section
  • FR1.3: Clear navigation between sections
  • FR1.4: Role-specific CTAs

• FR2: Interactive Features

  • FR2.1: Smooth scrolling navigation
  • FR2.2: Intersection observer animations
  • FR2.3: Ripple effects on interactions
  • FR2.4: Magnetic hover effects

• FR3: Analytics & Tracking

  • FR3.1: Event tracking system
  • FR3.2: Conversion monitoring
  • FR3.3: User journey analytics

Comprehensive Non-Functional Requirements:

• NFR1: Performance - Page load time < 3 seconds, 60 FPS animations
• NFR2: Accessibility - WCAG 2.1 AA compliance, screen reader compatibility
• NFR3: Scalability - Modular architecture, component reusability
• NFR4: Browser Compatibility - Modern browser support with graceful degradation

📊 Key Improvements Achieved

🎯 Quality & Standards Comparison

Requirements Completeness

• Before: 2-3 pages of basic requirements, minimal technical specifications
• After: 15-20 pages comprehensive documentation following IEEE 830 standards

Risk Management

• Before: Performance not addressed, basic accessibility, modern browsers only
• After: Proactive optimization, full WCAG compliance, graceful degradation

Maintenance & Scalability

• Before: Tightly coupled code, hard to modify, high technical debt
• After: Loosely coupled modules, easy to extend, service worker ready for PWA

🔧 Installation

1. Clone the repository:

git clone https://github.com/skyline-GTRr32/claude-better-responses-mcp
cd claude-better-responses-mcp

2. Run the MCP server:

fastmcp run mcpserver.py:mcp

3. Add to your Claude configuration:

"hello": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "mcp[cli]",
        "mcp",
        "run",
        "C:\\Users\\path\\mcpserver.py"
      ]
    }
  }
}

4. Restart Claude and start getting better responses!
5. Restart Claude and start getting better responses!

🎯 Features

• Strategic Consultation: Makes Claude think architecturally before coding
• Requirements Analysis: Structured approach to understanding project needs
• Risk Assessment: Identifies potential pitfalls and technical debt
• Business Alignment: Considers business impact alongside technical solutions
• Implementation Roadmaps: Provides step-by-step guidance with priorities
• Standards Compliance: Follows industry best practices (IEEE 830, WCAG 2.1)

📋 Use Cases

Perfect for getting better Claude responses on:

• Web development projects with multiple user types
• Performance optimization problems
• Architecture and design decisions
• Technology selection and trade-offs
• Scaling and infrastructure challenges
• Code quality and technical debt issues
• Accessibility and compliance requirements

🚀 Quick Start

Once installed, simply ask Claude any software engineering question as usual. The MCP server will automatically enhance Claude's response with strategic consultation.

Example:

You: "Build me a REST API for my e-commerce app"

Claude (enhanced): "Let me consult with our engineering advisor first... 
[Comprehensive requirements analysis, architecture planning, security considerations, 
scalability design, and implementation roadmap]"

🏗️ How It Works

1. Intercepts your software engineering questions to Claude
2. Consults with a strategic engineering advisor framework
3. Analyzes requirements using industry-standard methodologies
4. Enhances Claude's response with comprehensive planning
5. Delivers production-ready, well-architected solutions

💡 The Bottom Line

First Approach: Rapid prototype mentality - quick delivery but limited long-term viability Second Approach: Enterprise-grade development - comprehensive planning, robust architecture, and production-ready implementation

Transform Claude from giving you a quick prototype to delivering enterprise-grade software engineering solutions.

💡 Why This Matters Most devs throw raw prompts at LLMs and accept mediocre output. This repo helps you:

Build with intentional system design

Think like a senior engineer (automatically)

Get Claude to reason more deeply than ever before

If you're working with LLMs, especially Claude, this is the upgrade you've been waiting for. 🌟 Star This Project If...

✅ You care about quality code ✅ You’ve ever been frustrated by vague AI outputs ✅ You want LLMs to design systems, not just print functions

🧑‍💻 Built By Ali Akbar LinkedIn: https://www.linkedin.com/in/ali-akbar-161b42343/ This is part of my mission to make LLMs truly useful for real-world software engineering.

⭐ Support

If this MCP server improved your Claude responses, please give us a star! It helps other developers discover this tool.

Transform Claude from a coding assistant into a senior software engineering consultant.