Crawl4AI MCP Server

# Enhanced Crawl4AI MCP Server Architecture ## Multi-Tenant Architecture with Cloud Provider Flexibility This document outlines an enhanced architecture for the Crawl4AI MCP Server that allows users to deploy their own instances easily while maintaining security and flexibility in cloud provider choice. ## Core Principles 1. **Automated Infrastructure Provisioning**: Users can deploy the full stack with minimal effort 2. **Cloud Provider Flexibility**: Support for AWS, GCP, Azure, and other major providers 3. **Security-First Design**: PII and credentials are never exposed publicly 4. **Ease of Use**: Simple configuration through environment variables or a setup wizard 5. **Multi-Tenancy**: Each user has their own isolated resources ## System Components ### 1. MCP Server Frontend (Cloudflare Worker) The MCP Server frontend remains a Cloudflare Worker but is enhanced with: - A setup wizard for first-time configuration - A management dashboard for monitoring and configuration - Multi-tenancy support with isolated user configurations - Secure credential management ### 2. Infrastructure as Code (IaC) Module A new IaC module that: - Automates deployment of the Crawl4AI Docker container - Supports multiple cloud providers - Securely handles cloud credentials - Provisions necessary resources with proper security settings ### 3. Configuration Manager A secure configuration manager that: - Stores user-specific configurations in encrypted form - Manages cloud provider credentials securely - Provides role-based access control for settings - Automatically rotates sensitive credentials ## Security Architecture ### Environment Variable Management All sensitive information is stored securely using: 1. **Local Development**: `.env` file with strict `.gitignore` rules 2. **Production**: Cloudflare Worker Secrets or equivalent secure storage 3. **Cloud Resources**: Managed secrets services (AWS Secrets Manager, Google Secret Manager, etc.) ``` # Example .env structure (never committed to git) # MCP Server Configuration CRAWL4AI_API_KEY=your_api_key SESSION_SECRET=your_session_secret OAUTH_CLIENT_ID=your_oauth_client_id OAUTH_CLIENT_SECRET=your_oauth_client_secret # Cloud Provider Credentials (only one provider needed) # AWS Configuration AWS_ACCESS_KEY_ID=your_aws_access_key AWS_SECRET_ACCESS_KEY=your_aws_secret_key AWS_REGION=us-east-1 # GCP Configuration GCP_PROJECT_ID=your_project_id GCP_SERVICE_ACCOUNT_KEY=your_service_account_key_json # Azure Configuration AZURE_SUBSCRIPTION_ID=your_subscription_id AZURE_TENANT_ID=your_tenant_id AZURE_CLIENT_ID=your_client_id AZURE_CLIENT_SECRET=your_client_secret ``` ### Infrastructure Security Each deployed Crawl4AI instance includes: - Private networking where possible - Minimal required permissions - Automatic security patches - Encrypted storage - Firewalls limited to required traffic only - Temporary credentials that auto-expire ## User Onboarding Flow 1. **Registration**: - User registers for the service - Creates a secure account with 2FA 2. **Cloud Provider Selection**: - User selects their preferred cloud provider - Provides limited-scope API credentials through secure form - System validates credentials without storing in plain text 3. **Automated Deployment**: - System provisions container and supporting infrastructure - Generates unique API keys and endpoints - Verifies connectivity and health 4. **Configuration**: - User receives connection details for their Crawl4AI instance - Dashboard shows resource usage and health metrics - API keys are retrievable only by authorized users ## Implementation Details ### 1. Cloud Provider Abstraction Layer ```typescript // Example abstraction layer pseudocode interface CloudProvider { deployContainer(options: DeploymentOptions): Promise<Deployment>; getStatus(deploymentId: string): Promise<DeploymentStatus>; scaleResources(deploymentId: string, resources: Resources): Promise<void>; destroyDeployment(deploymentId: string): Promise<void>; } class AWSCloudProvider implements CloudProvider { // AWS-specific implementation } class GCPCloudProvider implements CloudProvider { // GCP-specific implementation } class AzureCloudProvider implements CloudProvider { // Azure-specific implementation } ``` ### 2. Infrastructure Provisioning For each cloud provider, we'll create Terraform or equivalent IaC modules: ```hcl # AWS Example (Terraform) module "crawl4ai_aws" { source = "./modules/aws" instance_type = var.instance_type region = var.aws_region vpc_id = var.vpc_id subnet_ids = var.subnet_ids security_groups = var.security_groups crawl4ai_version = var.crawl4ai_version api_key = var.api_key # Additional configuration } ``` ### 3. Secure Configuration Storage ```typescript // Configuration Manager pseudocode class ConfigurationManager { // Store encrypted configuration async storeConfig(userId: string, config: UserConfig): Promise<void> { const encrypted = await encryptConfig(config); await KV.put(`config:${userId}`, encrypted); } // Retrieve and decrypt async getConfig(userId: string): Promise<UserConfig> { const encrypted = await KV.get(`config:${userId}`); return decryptConfig(encrypted); } // Delete configuration async deleteConfig(userId: string): Promise<void> { await KV.delete(`config:${userId}`); } } ``` ## Deployment Architectures by Cloud Provider ### AWS Deployment - **Compute**: EC2 instance or ECS Fargate container - **Networking**: VPC with private subnets and NAT Gateway - **Security**: Security groups, IAM roles with least privilege - **Monitoring**: CloudWatch metrics and alarms ### GCP Deployment - **Compute**: GCE instance or Cloud Run container - **Networking**: VPC with private subnets and Cloud NAT - **Security**: Firewall rules, service accounts with minimal permissions - **Monitoring**: Cloud Monitoring with custom dashboards ### Azure Deployment - **Compute**: Azure VM or Container Instances - **Networking**: Virtual Network with private subnets - **Security**: Network Security Groups, Managed Identities - **Monitoring**: Azure Monitor with Application Insights ## User Dashboard Features 1. **Deployment Management**: - Start/stop Crawl4AI instances - Scale resources up/down - View logs and metrics 2. **API Key Management**: - Generate new API keys - Revoke existing keys - Set permissions and usage limits 3. **Usage Monitoring**: - View resource utilization - Monitor costs and billing - Set alerts for abnormal usage ## Cost Management To help users manage costs effectively: 1. **Resource Scheduling**: Auto-stop idle containers after configurable period 2. **Right-sizing**: Recommend optimal instance sizes based on usage patterns 3. **Cost Estimates**: Provide cost estimates before deployment 4. **Usage Dashboards**: Real-time cost tracking and forecasting ## Architecture Diagrams ### Multi-Tenant Architecture Overview ``` ┌─────────────────────┐ ┌─────────────────────┐ ┌─────────────────────┐ │ │ │ │ │ User A - AWS │ │ │ │ IaC Provisioning │────▶│ Crawl4AI Container │ │ │ │ Service │ │ │ │ │ │ │ └─────────────────────┘ │ Cloudflare │────▶│ - AWS Module │ │ MCP Server │ │ - GCP Module │ ┌─────────────────────┐ │ with Multi-tenant │ │ - Azure Module │ │ User B - GCP │ │ Support │ │ │────▶│ Crawl4AI Container │ │ │ │ │ │ │ │ │ │ │ └─────────────────────┘ └─────────────────────┘ └─────────────────────┘ ▲ ▲ ┌─────────────────────┐ │ │ │ User C - Azure │ │ │ │ Crawl4AI Container │ ┌───────┴────────────┐ ┌────────┴────────┐ │ │ │ │ │ │ └─────────────────────┘ │ │ │ │ │ AI Assistants │ │ User Dashboard │ │ (Claude, etc.) │ │ │ │ │ │ │ └────────────────────┘ └─────────────────┘ ``` ### Security Architecture ``` ┌──────────────────┐ ┌──────────────────┐ ┌──────────────────┐ │ │ │ │ │ │ │ User Browser │────▶│ Cloudflare │────▶│ Cloud Provider │ │ or Claude │ │ Worker + KV │ │ Resources │ │ │ │ │ │ │ └──────────────────┘ └──────────────────┘ └──────────────────┘ │ ▼ ┌──────────────────┐ │ Secure Secrets │ │ Management │ │ │ │ - API Keys │ │ - Credentials │ │ - PII │ └──────────────────┘ ``` ## Development Roadmap ### Phase 1: Foundation (2-3 weeks) - Enhance MCP Server with configuration management - Develop the AWS provider integration - Create secure credential management - Build basic admin dashboard ### Phase 2: Provider Expansion (2-3 weeks) - Add GCP provider integration - Add Azure provider integration - Enhance monitoring capabilities - Implement automated scaling ### Phase 3: Multi-Tenant Features (3-4 weeks) - Develop user registration and management - Implement billing integration - Create usage analytics - Add self-service features ### Phase 4: Advanced Capabilities (2-3 weeks) - Implement advanced security features - Add backup and disaster recovery - Develop comprehensive documentation - Create user onboarding guides ## Implementation Considerations 1. **Authentication**: Use OAuth 2.0 or similar for user authentication 2. **API Design**: Create a clean, RESTful API for the dashboard 3. **Testing**: Comprehensive automated testing for all cloud providers 4. **Documentation**: Detailed setup guides for each provider 5. **Compliance**: Ensure GDPR and other regulatory compliance ## Conclusion This enhanced architecture creates a flexible, secure, multi-tenant Crawl4AI MCP Server that: 1. Allows users to deploy on their preferred cloud provider 2. Keeps all PII and credentials secure 3. Automates infrastructure provisioning 4. Provides essential management capabilities 5. Scales to support multiple users By implementing this architecture, we can provide a robust, user-friendly solution that makes the Crawl4AI MCP Server accessible to a wide audience while maintaining strong security practices.