Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Most marketers / growth analysts / product managers today who want an AI agent (Gemini CLI / Claude Code / Cursor / Windsurf) to query Google Analytics have been either (a) writing custom google-analytics-admin + google-analytics-data wrappers by hand (no canonical MCP surface), (b) reaching for non-MCP analytics libraries that require custom agent integration, or (c) asking the agent to
Where this stands now
Analytics MCP: Official Google Analytics MCP Server from the googleanalytics GitHub Org (13+ MCP Tools, Apache-2.0) ranks #70 of 2770 tracked Radar items by composite score (8.6 against a section median of 4.9). The section currently carries 1659 Bronze, 645 Gold, 466 Silver. RepoRadar has retained observations for this record since 2026-07-08 (87 days in the current window). Signal extremes versus the section: momentum at the 83th percentile; novelty at the 83th percentile.
Who should use it
Who should skip it
Skip Analytics MCP: Official Google Analytics MCP Server from the googleanalytics GitHub Org (13+ MCP Tools, Apache-2.0) if the source repository or demo is inactive, unmaintained, or no longer matches the description shown here.
About this signal
Analytics MCP: Official Google Analytics MCP Server from the googleanalytics GitHub Org (13+ MCP Tools, Apache-2.0) is tracked by RepoRadar as an AI project in the Radar section. First seen 2026-07-08; the source record was last checked on 2026-07-08. The current verdict is 'try now' with a Gold tier and moderate setup difficulty. Analytics MCP: Official Google Analytics MCP Server from the googleanalytics GitHub Org (13+ MCP Tools, Apache-2.0) leads on workflow potential (9.7) and practical usefulness (9.0); its lowest signal is setup ease (6.4), so factor that in before investing setup time. This page summarizes the public evidence on the linked source page and states where additional review is still needed.
How this item is evaluated
The Analytics MCP: Official Google Analytics MCP Server from the googleanalytics GitHub Org (13+ MCP Tools, Apache-2.0) record combines a 8.6/10 composite score with separate popularity (0.0), risk (low), and setup (moderate) signals. See the scoring methodology for the current weights and evidence definitions.
Questions worth asking before you adopt this
Putting this into practice? Read How to vet an AI agent or MCP server before you wire it in for the checklist behind this score.
Risk explanation
The 2; 604* / 575-fork / 75-subscriber repo is at active maintenance but the consumer SHOULD note the multi-step setup path: (1) Google Cloud project with Analytics Admin API + Analytics Data API enabled; (2) OAuth client credentials with the analytics.readonly scope; (3) gcloud auth application-default login to wire the credentials file.