Connectors
Bridges that let AI read from and write to your apps and services.
Connectors are integration modules that link an AI system to external data sources and services — CRMs, databases, file stores, communication platforms, ERPs. They handle authentication, data formatting, and the translation layer between the AI and the external system.
In enterprise AI platforms, connectors let the model ingest live data from Salesforce, write calendar events to Google Calendar, send Slack messages, or query a PostgreSQL database.
Without connectors, AI is isolated to its training data and your manual copy-paste. Connectors are closely related to MCP servers — an MCP server is one standardised implementation of a connector.
In plain terms
Connectors are the power outlets that let an AI's capabilities flow into the systems and apps your business already runs on.
Related concepts
Model Context Protocol
A universal standard for AI to connect to any tool or data source.
API
A standardised way for software to talk to other software.
AI Agents
AI that plans and takes actions without you guiding every step.
Retrieval-Augmented Generation
Giving the AI access to your documents before it answers.