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ARC Model Context Protocol (MCP) Server

by maxmurphySF

The ARC Model Context Protocol (MCP) Server bridges AI models with the ARC enterprise application framework. It enables AI assistants to leverage ARC's capabilities, accelerating development cycles and enhancing productivity.

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🚀 ARC Model Context Protocol (MCP) Server: AI-Powered Development

Bridging AI Models with ARC's Enterprise Application Framework

🌟 Overview

The ARC Model Context Protocol (MCP) Server revolutionizes how developers interact with the ARC framework by creating a seamless bridge between powerful AI models (like Claude, GPT, and others) and ARC's robust ecosystem for building cloud-native enterprise applications.

ARC MCP Bridge

ARC MCP Bridge

This innovative implementation follows the Model Context Protocol specification, enabling AI assistants to directly leverage ARC's capabilities, accelerating development cycles and enhancing productivity across your organization.

🛠️ Tool Suite

The ARC MCP Server exposes a comprehensive set of tools that empower AI models to assist with every aspect of the application development lifecycle:

📚 Documentation Assistant

Tool: arc.docs.search

Transform how your team accesses and utilizes ARC documentation:

  • Contextual Knowledge: Get precise explanations of ARC concepts tailored to your specific use case
  • Code Examples: Receive relevant code snippets that solve your exact problem
  • Troubleshooting: Quickly diagnose issues with documentation-backed solutions
  • Best Practices: Learn recommended approaches directly from official guidelines
// Example: AI assistant helping with authentication concepts
{
  "toolId": "arc.docs.search",
  "parameters": {
    "query": "authentication service configuration",
    "category": "api",
    "maxResults": 3
  }
}

🔐 API Microservices Integration

Tools: arc.api.authentication, arc.api.notification, and more

Interact directly with ARC microservices through natural language:

  • Authentication Operations: Test login flows, verify tokens, and manage sessions
  • Notification Management: Configure and trigger notifications across channels
  • Data Operations: Query and manipulate data through repository services
  • Workflow Execution: Trigger and monitor business processes
// Example: AI assistant helping test authentication
{
  "toolId": "arc.api.authentication",
  "parameters": {
    "action": "verifyToken",
    "token": "your-jwt-token"
  }
}

🏗️ Project Generation & Scaffolding

Tool: arc.generator.microservice

Accelerate development with AI-powered code generation:

  • Microservice Scaffolding: Generate complete microservice structures from descriptions
  • Model Creation: Define data models through conversation
  • API Design: Create controllers and endpoints based on requirements
  • Business Logic: Implement common patterns and workflows automatically
// Example: AI assistant generating a payment service
{
  "toolId": "arc.generator.microservice",
  "parameters": {
    "name": "payment-service",
    "features": ["database", "authentication", "api"],
    "models": [
      {
        "name": "Payment",
        "properties": {
          "id": "string",
          "amount": "number",
          "status": "string"
        }
      }
    ]
  }
}

☁️ Deployment Assistance

Tool: arc.deployment.infrastructure

Streamline your path to production:

  • Infrastructure as Code: Generate deployment templates for AWS, Azure, GCP, etc.
  • CI/CD Configuration: Set up automated pipelines with best practices
  • Environment Setup: Configure development, staging, and production environments
  • Troubleshooting: Diagnose and resolve deployment issues
// Example: AI assistant helping with AWS deployment
{
  "toolId": "arc.deployment.infrastructure",
  "parameters": {
    "projectPath": "./my-arc-project",
    "platform": "aws",
    "options": {
      "region": "us-east-1",
      "resources": {
        "cpu": "1",
        "memory": "2GB"
      }
    }
  }
}

💼 Benefits for SourceFuse

Internal Teams

  • 🚄 Accelerated Onboarding: New developers can quickly become productive with ARC
  • 🧠 Knowledge Democratization: Expertise becomes accessible to everyone through AI
  • 🔄 Standardization: Ensure consistent implementation of best practices
  • ⏱️ Time Savings: Reduce time spent on documentation searches and boilerplate code

Client Projects

  • 💰 Cost Efficiency: Deliver projects faster with fewer resources
  • 🎯 Consistency: Maintain high quality across all implementations
  • 🔍 Reduced Errors: AI assistance helps catch issues early in development
  • 📈 Scalability: Handle more projects with existing team capacity

🌐 Benefits for Open Source Community

  • 🤝 Lower Entry Barrier: Make ARC more accessible to new developers
  • 🔌 Extensibility: Community can contribute new tools and integrations
  • 📱 Showcase Innovation: Demonstrate cutting-edge AI integration capabilities
  • 🌱 Ecosystem Growth: Attract more developers to the ARC framework

🚀 Getting Started

# Clone the repository
git clone https://github.com/sourcefuse/arc-mcp-server.git
cd arc-mcp-server

# Install dependencies
npm install

# Build the project
npm run build

# Start the server
npm start

Connecting with Claude Desktop

Edit your Claude Desktop configuration file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json

Add ARC MCP server configuration:

{
  "mcpServers": {
    "arc": {
      "command": "node",
      "args": [
        "path/to/arc-mcp-server/dist/index.js"
      ],
      "options": {
        "cwd": "path/to/arc-mcp-server"
      }
    }
  }
}

📞 Get Involved

We're excited to see how you'll use the ARC MCP Server to transform your development workflow! Join our community:

  • 💬 Slack Channel: #arc-mcp-community
  • 🐙 GitHub: Submit issues and PRs
  • 📝 Documentation: Contribute to our knowledge base
  • 🎤 Webinars: Join our monthly demos and discussions

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