Last week, Profound announced its new Model Context Protocol (MCP) integration—allowing users to inject Profound visibility and citation data directly into AI workflows via TypeScript and Python SDKs. The promise is clear: connect observability metrics to the same assistants (ChatGPT, Claude, Gemini) whose responses those metrics describe. It’s a logical next step in a market racing to close the feedback loop between data collection and decision-making.
Last week, Profound announced its new Model Context Protocol (MCP) integration—allowing users to inject Profound visibility and citation data directly into AI workflows via TypeScript and Python SDKs. The promise is clear: connect observability metrics to the same assistants (ChatGPT, Claude, Gemini) whose responses those metrics describe. It’s a logical next step in a market racing to close the feedback loop between data collection and decision-making.