--- title: "Google Analytics MCP: review, setup & limitations · Undominated.ai" canonical: https://undominated.ai/mcp-servers/google-analytics/ description: "A local connector for authorized Google Analytics property metadata and reporting APIs." --- # Google Analytics MCP: review, setup & limitations · Undominated.ai > A local connector for authorized Google Analytics property metadata and reporting APIs. [← Explore all mcp servers](/mcp-servers/) ANALYTICS AND REPORTING / Google Analytics # Google Analytics MCP A local connector for authorized Google Analytics property metadata and reporting APIs. See setup guidance ↓Original source ↗ SOURCE REVIEW Reviewed 2026-09-22 Evidence 10 linked sources Publisher Google Analytics Licence Apache-2.0 ↗ Revision a8ca729d4a8f Read what was—and wasn’t—checked ↓ “Google Analytics MCP Server (Experimental)” Google Analytics · upstream description ↗ Our analysis follows below. 01 / THE REASONING ## Why this made the selection. - Uses the publisher’s Admin and Data APIs with a read-only Analytics scope rather than scraping dashboards. - Exposes property information, custom dimensions and historical or real-time reports for analysis within an existing account. ### A good fit for - Investigating traffic and event patterns in a property you can already access - Preparing reproducible reporting questions with explicit date ranges, dimensions and metrics ### Weigh up before choosing - The publisher marks this server experimental; some report paths use alpha APIs and retain upstream reporting limits. - The local process still sends authorized API requests to Google and passes report data to the assistant. It does not repair event instrumentation or prove causation. - README project-environment examples and prose use different variable names. Verify Application Default Credentials, quota-project configuration and property access instead of relying on the sample project-ID variable. 02 / THE REVIEW RECORD ## What we actually inspected. Source review has boundaries. A clear record is more useful than a “safe” badge. ### Material inspected - README.md and pyproject.toml - Server/coordinator tool registration - Authentication client and account/property handler - Historical, real-time, funnel and conversion report handlers - LICENSE notice ### Our findings - The credential factory requests the Analytics read-only scope and the coordinator registers reporting/metadata tools. - The review inspected actual report calls and registration; it did not validate every reporting dimension or run an account query. ### Not established by this review - No MCP server or upstream package was installed or run. - No authenticated account, API request, client handshake or write operation was tested. The review applies to the material and revision named here. A newer upstream release can change its behavior. 03 / PUT IT TO WORK ## Connect a server deliberately. Upstream setup instructions ↗ DOCUMENTED COMMAND pipx run analytics-mcp Copy command ↗ Copying does not execute this command. It may retrieve a newer version than the reviewed source. - Enable the Analytics Admin and Data APIs in the relevant Google Cloud project. - Configure Application Default Credentials with Analytics read-only access and grant the identity access to the intended Analytics property. - Configure the local MCP process using the publisher’s client-specific setup, then start with property metadata before requesting a report. ### Before you start - Supported Python and pipx - Google Cloud authentication tooling or an approved equivalent ADC setup - An identity with access to the target Analytics property ### Compatibility Gemini CLI · Claude Code · Gemini Code Assist ### Implementation Python ### Transports stdio ### Local MCP process with service access - Read account/property information and reporting data through Google APIs - Use the configured ADC identity and project; the Analytics client requests analytics.readonly - Expose authorized report results to the connected assistant ### Cost model Apache-2.0-licensed connector; Analytics account terms, API quotas and client/model usage remain separate. 04 / FOLLOW THE EVIDENCE ## The source trail. Our notes are separate from the original resource. Check upstream before adopting a new version. - Publisher README at reviewed revision ↗ Checked 2026-09-22 https://github.com/googleanalytics/google-analytics-mcp/blob/a8ca729d4a8fa99bffe87962c17c0539c6aa9da7/README.md Supports: summary, upstreamDescription, whySelected, bestFor, install, compatibility, limitations, access - Source licence ↗ Checked 2026-09-22 https://github.com/googleanalytics/google-analytics-mcp/blob/a8ca729d4a8fa99bffe87962c17c0539c6aa9da7/LICENSE Supports: license, access.cost - Reviewed implementation: analytics_mcp/server.py ↗ Checked 2026-09-22 https://github.com/googleanalytics/google-analytics-mcp/blob/a8ca729d4a8fa99bffe87962c17c0539c6aa9da7/analytics_mcp/server.py Supports: review, limitations, access, transports - Reviewed implementation: analytics_mcp/coordinator.py ↗ Checked 2026-09-22 https://github.com/googleanalytics/google-analytics-mcp/blob/a8ca729d4a8fa99bffe87962c17c0539c6aa9da7/analytics_mcp/coordinator.py Supports: review, limitations, access, transports - Reviewed implementation: analytics_mcp/tools/client.py ↗ Checked 2026-09-22 https://github.com/googleanalytics/google-analytics-mcp/blob/a8ca729d4a8fa99bffe87962c17c0539c6aa9da7/analytics_mcp/tools/client.py Supports: review, limitations, access, transports - Reviewed implementation: analytics_mcp/tools/admin/info.py ↗ Checked 2026-09-22 https://github.com/googleanalytics/google-analytics-mcp/blob/a8ca729d4a8fa99bffe87962c17c0539c6aa9da7/analytics_mcp/tools/admin/info.py Supports: review, limitations, access, transports - Reviewed implementation: analytics_mcp/tools/reporting/core.py ↗ Checked 2026-09-22 https://github.com/googleanalytics/google-analytics-mcp/blob/a8ca729d4a8fa99bffe87962c17c0539c6aa9da7/analytics_mcp/tools/reporting/core.py Supports: review, limitations, access, transports - Reviewed implementation: analytics_mcp/tools/reporting/realtime.py ↗ Checked 2026-09-22 https://github.com/googleanalytics/google-analytics-mcp/blob/a8ca729d4a8fa99bffe87962c17c0539c6aa9da7/analytics_mcp/tools/reporting/realtime.py Supports: review, limitations, access, transports - Reviewed implementation: analytics_mcp/tools/reporting/funnel.py ↗ Checked 2026-09-22 https://github.com/googleanalytics/google-analytics-mcp/blob/a8ca729d4a8fa99bffe87962c17c0539c6aa9da7/analytics_mcp/tools/reporting/funnel.py Supports: review, limitations, access, transports - Reviewed implementation: analytics_mcp/tools/reporting/conversions.py ↗ Checked 2026-09-22 https://github.com/googleanalytics/google-analytics-mcp/blob/a8ca729d4a8fa99bffe87962c17c0539c6aa9da7/analytics_mcp/tools/reporting/conversions.py Supports: review, limitations, access, transports KEEP COMPARING ## Other approaches to consider. Related by category or shared topics. These are alternatives to inspect, not a measured quality order. [### PostHog MCP ↗ Query product data, investigate errors, and manage feature flags or experiments in a PostHog project.](/mcp-servers/posthog/) [AI Tools ↗](/tools/)[Skills ↗](/skills/)[Agents ↗](/agents/)[MCP Servers ↗](/mcp-servers/)