Google Analytics MCP
Let AI agents query, analyze, and monitor your GA4 data through the Model Context Protocol
A Model Context Protocol integration exposes the GA4 Data API and BigQuery export to autonomous AI agents as governed, callable tools. Agents can run report queries, pull real-time and historical metrics, inspect dimensions and conversion events, and cross-reference behavioral data without a human building each report by hand. EGGKNITE wires these agents into read-scoped, audited workflows so they analyze and alert safely on production analytics.
Agents call the GA4 Data API to pull metrics and dimensions over any date range, segment, or funnel step on demand.
Agents check real-time active users and query the BigQuery event export for granular, session-level behavior.
Agents read property metadata, conversion events, custom dimensions, and audiences to ground analysis in the actual schema.
Agents compare periods, flag traffic and conversion shifts, and hand findings to alerting or reporting channels.
An agent answers plain-language questions about traffic, conversions, and channels by composing GA4 Data API queries, then returns numbers with the segments and caveats behind them.
A scheduled agent monitors key conversion and traffic metrics, detects statistically meaningful drops or spikes, and posts a diagnosed alert to Slack with the likely source and affected segment.
An agent assembles weekly stakeholder reports by querying GA4 alongside ad and CRM data, writing the narrative, and highlighting what changed and why it matters.
By default we scope agents to read and query access only. Any write action, like editing conversion events or audiences, is gated behind explicit permissions and human approval so agents cannot alter your setup unattended.
For heavy or event-level analysis we point agents at the GA4 BigQuery export rather than the Data API, which lets them run SQL over raw events without hitting API quotas or sampling limits.
Yes. We run MCP access through scoped service credentials with logging, so every query an agent makes is attributable, rate-limited, and reviewable.
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