arc-mcp-server
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The ARC Model Context Protocol (MCP) Server bridges AI models with ARC's enterprise application framework, enhancing development productivity.
🚀 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.
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
Powered by SourceFuse | MIT License
