01. Preface
The internet is evolving. We've witnessed the transformation from static websites to dynamic web applications, from desktop software to cloud-based services, and from manual processes to automated workflows. Now, we stand at the threshold of the next major shift: the Agentic Internet.
02. Our Thesis
MCP servers represent the next platform shift — they are the storefronts for AI agents. Just as websites became the primary interface between businesses and consumers, MCPs will become the primary interface between businesses and AI agents. This isn't just a technological upgrade; it's a fundamental reimagining of how digital services are accessed and consumed.
03. The Current State
Today's digital landscape is fragmented. Businesses expose their services through countless APIs, each with different authentication methods, data formats, and access patterns. AI assistants struggle to interface with these systems reliably. The result? Friction, security concerns, and missed opportunities for automation.
04. The Challenges We Face
The path to MCP adoption faces three critical challenges:
- Technical Complexity: Setting up secure, reliable MCP servers requires deep technical expertise that many organizations lack.
- GovernanceGap: Organizations need granular control over what AI agents can access and how they interact with sensitive business data.
- Awareness Barrier: Many businesses don't yet understand the transformative potential of making their services AI-accessible.
05. Ogment's Role
Ogment exists to bridge these gaps. We provide the complete MCP platform that organizations need:
- AI-Powered Generation: Transform any API into a production-ready MCP server in minutes, not weeks.
- Enterprise Governance: Granular permissions, authentication controls, and audit trails for secure AI integration.
- Analytics & Insights: Understand how AI agents interact with your services and optimize for better outcomes.
- No-Code Builder: Enable non-technical teams to create and manage MCP servers without writing code.
06. What Needs to Be True
For widespread MCP adoption to succeed, several conditions must be met:
- Reliability: MCPs must work consistently across different AI platforms and use cases.
- Safety: Organizations need confidence that AI agents will interact with their systems securely and appropriately.
- Simplicity Creating and managing MCPs must be as easy as creating a website.
- New Business Models: Companies need clear paths to monetize AI-accessible services and create new revenue streams.