Model Context Protocol (MCP) is an open protocol that allows AI clients to securely interact with platform data and capabilities through a standardized interface.
At Insider One, MCP enables AI-powered tools to understand and query Insider One analytics data using natural language, while fully respecting Insider One’s authentication, authorization, and data governance rules.
Instead of manually navigating dashboards or exporting reports, users can ask analytical questions and receive structured, accurate answers based on real Insider One data.
How does MCP work at Insider One?
Insider One MCP acts as a controlled bridge between AI clients and Insider One Analytics APIs. The AI client never accesses Insider One systems directly. All requests are:
Authenticated
Permission-based
Logged and validated
Insider One MCP use cases
With Insider One MCP, you can:
Ask analytics questions in natural language
Explore trends, performance, and comparisons
Retrieve structured insights grounded in Insider One data
Typical use cases include:
Channel performance analysis
Journey and campaign reporting
Time-based comparisons and trends
What Insider One MCP cannot do
Insider One MCP is intentionally limited to analytics-only use cases. It does not:
Modify data
Trigger campaigns or journeys
Send messages
Provide direct database access
Bypass Insider One authorizations
To set up Insider One MCP, continue with Set Up Insider One MCP.