Agent Servers
Full-featured orchestration engines for intelligent workflow generation and execution
Agent Servers Overview
Agent servers are complete orchestration engines that provide intelligent workflow generation, multi-agent coordination, and autonomous execution capabilities. Unlike simple MCP providers, agent servers offer comprehensive workflow management with advanced AI reasoning.
What Are Agent Servers?
Agent servers combine multiple AI agents and tools to:
- 🧠 Generate complex workflows from natural language descriptions
- ⚙️ Execute multi-step processes with error handling and retries
- 🔄 Coordinate multiple agents for complex problem-solving
- 📊 Monitor and optimize workflow performance
- 🛡️ Provide enterprise features like authentication and auditing
Available Agent Servers
🤖 Google ADK
Recommended - Advanced multi-agent workflow generation with Google’s Agent Development Kit
🔧 Custom Agent Server
Build your own agent server with the Kubiya SDK
Agent Servers vs MCP Providers
Architecture Comparison
Getting Started with Agent Servers
Quick Decision Guide
Simple automation needs?
👉 Consider MCP Providers instead
Complex workflow requirements?
👉 Use Agent Servers - continue below
Choose your implementation
- Google ADK: Best for most use cases, production-ready
- Custom Server: Full control, custom requirements
Set up your environment
Follow the specific setup guide for your chosen server type
Minimum Requirements
- Python 3.10+ with virtual environment
- API Keys: Kubiya + AI provider (Together AI, OpenAI, etc.)
- Memory: 2GB+ for local development
- Network: Outbound HTTPS access for AI APIs
Google ADK (Recommended)
The Google Agent Development Kit provides the most advanced workflow generation capabilities:
Key Features
Quick ADK Setup
Custom Agent Servers
Build your own agent server when you need:
- Custom AI models or providers
- Specialized workflow types for your domain
- Unique security requirements
- Custom integrations with proprietary systems
Basic Custom Server
Integration Examples
Frontend Integration
MCP Integration
Production Considerations
Security
- API Authentication: Always use API keys in production
- Rate Limiting: Implement request quotas
- Input Validation: Sanitize all user inputs
- Audit Logging: Track all workflow executions
Scalability
- Load Balancing: Multiple server instances
- Caching: Workflow templates and responses
- Monitoring: Health checks and metrics
- Resource Limits: Memory and CPU constraints
Reliability
- Error Recovery: Graceful failure handling
- Retry Logic: Automatic error recovery
- Health Monitoring: Continuous server monitoring
- Backup Strategies: Data persistence and recovery
Next Steps
🚀 Start with ADK
Get up and running with Google ADK in minutes
🔧 Build Custom Server
Create your own specialized agent server
🌐 Frontend Integration
Connect your agent server to a web interface
📚 Full Tutorial
Complete end-to-end development guide
Ready to build? Choose your agent server type above and follow the detailed setup guide!