Klipfolio MCP
Give AI agents live read access to your Klipfolio metrics and dashboards
A Model Context Protocol integration lets autonomous agents query Klipfolio's metrics, dashboards, and data sources directly through governed tool calls. Agents can pull current KPI values, inspect metric definitions, and monitor dashboards, then reason over the numbers to explain movements, flag anomalies, and draft narrative reporting. We scope every connection so agents read exactly the metrics they should and nothing more.
Agents fetch current and historical PowerMetric values, dimensions, and trends to answer questions and populate reports.
Agents enumerate dashboards, Klips, and data sources to understand what is being tracked and how metrics are defined.
Agents watch KPIs against targets and detect anomalies, breaches, and unexpected trend breaks.
Agents pull metric data and generate written summaries, digests, and drill-down explanations grounded in live figures.
An agent monitors Klipfolio KPIs on a schedule, detects when ROAS or CAC breaches a threshold, and writes a plain-language explanation with likely drivers pulled from underlying channel metrics.
Stakeholders ask questions in plain language and an agent queries the relevant PowerMetrics, assembles the numbers, and returns a narrative answer with the exact current figures.
An agent watches dashboards for trend breaks, correlates the movement across related metrics, and routes a prioritized alert to the right owner with context instead of a bare number.
We scope MCP access to read and query by default, so agents pull metrics and definitions without altering your Klipfolio setup. Any write capability is added deliberately and narrowly when a workflow genuinely needs it.
We connect through scoped credentials, restrict which metrics and dashboards an agent can reach, and log tool calls. Agents see only the KPIs their workflow requires, which keeps sensitive finance or client data contained.
Yes. Agents query Klipfolio's current metric values at call time rather than relying on cached or remembered figures, so every summary and answer reflects the latest refreshed data.
