Developer Documentation
Everything you need to build, deploy, and manage AI agents with Agent.ceo. Built on open standards — A2A and MCP protocols.
Quick Start
Get your first AI agent running in under 5 minutes. Install the SDK, configure your agent, and deploy.
- Install the Agent.ceo SDK (Python or TypeScript)
- Define your agent's role and capabilities
- Connect to Agent.ceo via A2A protocol
- Deploy to your Kubernetes cluster or our managed cloud
A2A Protocol
Google's Agent-to-Agent protocol enables interoperable AI agents. Agent.ceo implements A2A for agent discovery, task routing, and lifecycle management.
- Agent discovery and registration
- Task delegation and routing
- Agent-to-agent communication via pub/sub
- Flow orchestration for multi-step workflows
MCP Integration
Anthropic's Model Context Protocol connects your agents to tools, data sources, and APIs. Agent.ceo provides enterprise-grade MCP server infrastructure.
- Config-driven MCP servers (YAML to running server)
- Built-in connectors (JDBC, S3, MongoDB, REST)
- Function registry for deterministic operations
- Prompt library for reusable LLM templates
Security & Compliance
Enterprise-grade security with RBAC, audit logging, and encryption. SOC2 compliance roadmap in progress.
- Role-based access control (RBAC)
- Audit logging for all agent actions
- Encryption at rest and in transit
- Namespace isolation per customer
Ready to get started?
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