MCP to support configuring targeting attributes (e.g. conditions, audiences, geo rules) at the time of experiment creation, enabling fully end-to-end experiment setup via MCP. Currently, this limitation requires users to fall back to the UI or API, breaking the otherwise streamlined workflow. Expanding MCP to include targeting configuration would significantly improve automation, consistency, and adoption for enterprise use cases.
MCP to support configuring targeting attributes (e.g. conditions, audiences, geo rules) at the time of experiment creation, enabling fully end-to-end experiment setup via MCP. Currently, this limitation requires users to fall back to the UI or API, breaking the otherwise streamlined workflow. Expanding MCP to include targeting configuration would significantly improve automation, consistency, and adoption for enterprise use cases.