π Aider-MCP: AI Coding Server with Universal Auto-Detection
About
Aider-MCP-Upgraded is a production-grade multi-agent AI coding system that combines Desktop Commander (DC) investigation capabilities with Aider's implementation power. Features 70%+ token reduction, modular architecture, and intelligent workflow automation through strategic agen
Explore
CIRCUIT_BREAKER_FAILURE_THRESHOLD=3 # Failures before circuit breaks
CIRCUIT_BREAKER_RESET_TIMEOUT=60 # Cooldown period (seconds)
HEALTH_CHECK_INTERVAL=30 # Health check frequency
```
- β
Auto-bootstrap: Loads project context, metrics, and cost analytics on startup
- β
Context continuity: Maintains conversation state across sessions automatically
- β
Metric tracking: Real-time token savings and cost optimization data
- β
Error recovery: Automatic retry with fallback model selection
- β
Resource monitoring: CPU/memory tracking with automatic scaling
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
π Aider-MCP: AI Coding Server with Universal Auto-DetectionCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
git clone https://github.com/jacv888/aider-mcp-upgraded.git
cd aider-mcp-upgraded
./app/scripts/setup.sh
Configure your .env file with AI provider API keys for optimal multi-agent performance:
bash
MCP_SERVER_ROOT=/path/to/your/project # Auto-set by setup script
UV_PATH=/opt/homebrew/bin/uv # Auto-detected UV path
Optimize for your tech stack:
python app/scripts/update_claude_config.py
All configuration consolidated into a single, type-safe system:
bash
```bash
pip install -r requirements.txt
pip install -e .
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"\ud83d\ude80 aider-mcp: ai coding server with universal auto-detection": {
"aider-mcp-upgraded": {
"command": "python",
"args": [
"app/scripts/update_claude_config.py"
]
}
}
}
}
McpServers
{
"aider-mcp-upgraded": {
"command": "python",
"args": [
"app/scripts/update_claude_config.py"
]
}
}
π Aider-MCP-Upgraded: Multi-Agent AI Coding with Desktop Commander Integration
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Aider-MCP-Upgraded is a production-grade multi-agent AI coding system that combines Desktop Commander (DC) investigation capabilities with Aider's implementation power. Features 70%+ token reduction, modular architecture, and intelligent workflow automation through strategic agent coordination.
ποΈ Multi-Agent Architecture: DC + Aider Integration
π Strategic Agent Coordination
- Desktop Commander (DC): File investigation, code analysis, and element discovery - Aider: Implementation with advanced AI models and auto-detection optimization - Claude: Strategic planning, design review, and quality assurance - Seamless handoff: Automated delegation between agents for optimal resultsβ‘ The Optimization Workflow
User Request β DC Investigation β Element Detection β Aider Implementation
Natural Language β Specific Functions/Classes β 70% Token Reduction
π Multi-Agent Benefits
- Precision targeting: DC identifies exact functions/classes to modify - Cost optimization: 70% token reduction through specific element targeting - Quality assurance: Strategic model selection for complex implementations - Workflow automation: Seamless transitions without manual intervention⨠Key Features & Proven Capabilities
π― Universal Auto-Detection System
- 70%+ token reduction across Python, JavaScript, and TypeScript - Automatic element detection: Functions, classes, components from natural language - Framework intelligence: React, Next.js, Django, FastAPI, Zod awareness - Context extraction: Smart relevance filtering reduces context noise by 85%π€ Intelligent Agent Orchestration
- Strategic delegation: DC investigates β Aider implements β Claude validates - Auto-handoff: Seamless transitions between investigation and implementation - Conflict prevention: Multi-agent coordination prevents file collisions - Resource optimization: Parallel execution with intelligent load balancingπ Session Automation
- Auto-bootstrap: Loads project context and performance metrics on startup - Context management: Maintains conversation state across sessions automatically - Health monitoring: Real-time system health assessment and alerts - Cost tracking: Live spend monitoring with configurable budget controlsπ° Cost Optimization Engine
- Strategic model routing: Simple tasks β GPT-4.1 Mini, Complex β Gemini 2.5 Pro - Token reduction: 70% savings through precise target detection - Bulk optimization: Multi-task execution reduces per-task costs - Budget enforcement: Automatic spend limits with overflow protectionπ Real-Time Monitoring
- Performance metrics: Token savings, response times, success rates - Cost analytics: Daily/weekly/monthly spending trends - Health dashboards: System status with automated degradation detection - Session analytics: Context loading efficiency and automation effectivenessπ° Cost Optimization & Savings Potential
Measured Token Reduction
Based on testing across multiple frameworks and task types:| Task Type | Traditional Tokens | Optimized Tokens | Reduction |
|-----------|------------------:|:----------------:|:---------:|
| Function fixes | 15,000 | 4,500 | 70% |
| Component creation | 18,000 | 5,400 | 70% |
| API endpoints | 12,000 | 3,600 | 70% |
| Class refactoring | 20,000 | 6,000 | 70% |
Estimated Cost Impact
Savings estimates based on 70% token reduction at current API pricing:| Usage Level | Traditional Cost/Month | Optimized Cost/Month | Potential Savings |
|-------------|----------------------:|:--------------------:|:-----------------:|
| Individual Developer (50 tasks) | $150 | $45 | $105/month |
| Small Team (200 tasks) | $600 | $180 | $420/month |
| Development Team (500 tasks) | $1,500 | $450 | $1,050/month |
Actual savings depend on task complexity, model pricing, and usage patterns
ROI Timeline
- Week 1: Token reduction visible immediately - Month 1: Measurable cost reduction from optimized workflows - Quarter 1: Significant savings from automation and efficiency gainsπ Quick Start
One-Command Automated Setup
```bash git clone https://github.com/jacv888/aider-mcp-upgraded.git cd aider-mcp-upgraded ./app/scripts/setup.shSign in to leave a review
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