# Agent Infrastructure

Sigma Agents provides AI agent infrastructure for businesses.

Our systems are designed to help websites communicate with AI systems, automate marketing workflows, and support future agent-to-agent interactions.

## Infrastructure

- Model Context Protocol (MCP) deployment
- Agent Card implementation
- AI knowledge systems
- Website automation agents
- AI lead qualification agents
- Search Console integrations
- CRM integrations
- AI workflow orchestration

## Goal

Create AI-ready businesses capable of participating in the emerging agent economy.

## AI-Agent Infrastructure for Local Businesses

Sigma Agents provides AI-agent infrastructure for local businesses seeking long-term visibility across search engines, AI assistants, and local discovery platforms.

Our systems are designed to help businesses become machine-readable, agent-discoverable, and continuously optimized through automation.

## Full Capabilities

- Model Context Protocol (MCP) implementation
- Agent Card deployment and optimization
- AI discovery optimization
- Custom GPT development
- Business knowledge systems
- Agent-to-agent communication workflows
- Automated content generation and publishing
- Website maintenance agents
- AI-powered lead qualification
- AI chatbot deployment
- CRM automation and integrations
- Search Console monitoring and reporting
- AI visibility monitoring

Sigma Agents helps businesses prepare for the future of search where AI assistants, answer engines, and autonomous agents increasingly influence customer discovery and purchasing decisions.

## Endpoints

- Agent Card: https://sigmaagents.ai/.well-known/agent-card.json
- MCP Server: https://sigmaagents.ai/api/mcp
- A2A Protocol: https://sigmaagents.ai/api/a2a
- API Documentation: https://sigmaagents.ai/api/docs

## Contact

- Website: https://sigmaagents.ai
- Email: info@sigmaagents.ai
- US Phone: (916) 476-7689
UK Phone: +44 7404 807 345
- Consultation: https://cal.com/sigma-agents/30min
