Features: Google Analytics MCP for ChatGPT

Core features

1) GA account and property discovery

Use ga4_get_account to list accessible GA accounts, properties, and web/app streams.
This makes setup reliable because you can fetch the correct propertyId, appStreamId, measurementId, and firebaseAppId before running reports.

2) Flexible Google Analytics reporting

Use ga4_get_data to run standard GA reports with:

• Flexible date ranges (today, yesterday, NdaysAgo, or explicit dates)
• Metrics and dimensions as single values or arrays
• Filter expressions for precise slicing
• Sorting and row limits for focused analysis

This is the core feature for daily analysis in ChatGPT: ask, refine, and query again without exports.

3) Funnel reporting for drop-off analysis

Use ga4_run_funnel_report to analyze conversion funnels with:

• Multi-step funnel definitions
• Open or standard funnel behavior
• Breakdown dimensions for segment-level visibility
• Next-action and visualization support

This is the fastest way to understand where users drop and which step needs attention first.

4) Built-in statistical significance testing

Use stats_significance_test to compare conversion outcomes across periods, channels, or experiments with:

• P-values
• Confidence intervals
• Significance flags
• Baseline, pairwise, or all-vs-all comparisons

This reduces false decisions caused by noise.

5) Security-first access model

• OAuth2 authorization flow
• Read-only analytics scope intent
• No write operations to your GA setup
• Zero GA report payload storage messaging
• EU/Germany hosting posture

Example use cases

SEO and organic growth prioritization

Goal: identify pages where traffic is growing but business outcomes are weakening.

Prompt: “For the last 8 weeks, show landing pages with increasing organic sessions but declining conversion rate. Rank top 10 pages by opportunity size and suggest what to test first.”

Landing page optimization queue

Goal: build a practical test backlog for CRO.

Prompt: “List top landing pages by sessions for the last 30 days, including engagement rate and conversion rate. Highlight the 5 weakest pages by expected revenue impact and provide one test hypothesis per page.”

Weekly executive reporting

Goal: produce an action-oriented weekly narrative for leadership.

Prompt: “Create a weekly report: last week vs previous week for sessions, users, conversion rate, and revenue by channel. Summarize key changes, likely causes, and three actions for next week.”

Current CAC review

Goal: understand paid efficiency now, not at month end.

Prompt: “Estimate current CAC for paid channels for the last 30 days by campaign. Return spend, conversions, CAC, and change vs prior 30 days. Flag campaigns above target CAC.”

Worst spending campaign detection

Goal: stop waste quickly.

Prompt: “List the 10 campaigns with highest spend and weakest conversion efficiency over the last 30 days. Classify each campaign as pause, fix, or scale and explain why.”

Funnel bottleneck diagnosis

Goal: find the biggest conversion drop-off.

Prompt: “Run a checkout funnel analysis for last 14 days and previous 14 days. Show drop-off by step and device, and identify the single highest-impact bottleneck.”

Best fit

Safe MCP is strongest when your team needs interactive, in-chat Google Analytics analysis.
If your main requirement is scheduled automation pipelines and cross-app syncing, pair Safe MCP with connector/automation tools.