Cyclr

Every enterprise wants to take advantage of AI. The challenge isn't deploying the latest large language model (LLM)—it's connecting that AI to decades of business systems without creating security risks, brittle integrations or expensive redevelopment projects. This is where the Headless Bridge comes in. A Headless Bridge is an architectural approach that sits between ...

Everyone is talking about MCP right now. But simply exposing tools to AI agents isn’t what makes an MCP platform effective. The real challenge is this: can an LLM actually understand your tools well enough to use them reliably? That’s where Cyclr has an edge. Cyclr’s MCP PaaS doesn’t start from scratch. It’s built on top of years of connector development, method design...

As AI agents become increasingly capable, expectations are shifting. Users no longer want AI to simply answer questions; they want it to take action. This is where the combination of Model Context Protocol (MCP) and integration workflows becomes particularly powerful. Traditionally, MCP servers expose tools and actions that an AI can invoke. However, exposing every API...