An AI connector serves as a bridge between an AI system and an external data source or API, often using a standardized protocol such as the model context protocol (MCP).
Within AI search and LLM extension, an AI connector is a pre-designed software element or interface that connects an AI system with an external data source, tool, or API.
The MCP provides a standardized framework that dictates the operation of these AI connectors, enabling them to furnish LLMs with capabilities and context in a structured, easily discoverable, and secure way.
Learn more: For an in-depth exploration of AI connectors, their interaction with APIs and MCP, and best practices for their use, check out our guide to AI connectors.