Is Google Analytics MCP safe to use?

Google Analytics MCP has an HVTrust score of 80.1/100 (Grade A), ranked #95 of 1320 tracked AI agent projects. This score reflects verifiable supply-chain integrity, transparency, maintenance, and adoption signals.

What is the trust score for Google Analytics MCP?

Google Analytics MCP scores 80.1/100 on HVTracker's evidence-weighted HVTrust scale. It has 241 GitHub stars and is categorized under MCP Servers.

Google Analytics MCP

surendranb/google-analytics-mcp

Google Analytics 4 data to AI agents, agentic workflows, and MCP clients. Give agents analysis-ready access to website t

MCP Servers Python Grade A Listed MIT

80.1/100

Rank #95 of 1320

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Strong public trust posture, backed by multiple independent signals.

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Listing state

Listed

Evidence coverage

Grade B · 3/5 signals

Last push

2026-09-01 · 3d ago

Recent change

License +10

Is Google Analytics MCP safe? Google Analytics MCP scores 80.1/100 (Grade A), ranked #95 of 1320 tracked open-source AI agent projects, on evidence coverage B (3 of 5 independent signal types). The public evidence: its packages ship with cryptographic provenance; OSSF Scorecard rates its supply-chain practices 6.2/10; 2% of recent commits are signed; last pushed 2026-09-01. Every point is earned from checkable signals — never paid placement. How scoring works →

Ranked neighbours in MCP Servers

#36 MCP Server Polarion — 80.2 (A) → #37 Copilot Money — 80.2 (A) → #39 ContextStream — 79.9 (B) → #40 Sec Edgar MCP — 79.7 (B) →

Quick Trust Read

What Would Improve It

Increase the share of verified signed commits for clearer maintainer identity.

Recent Changes

2026-09-03

License Changed

License changed from Apache-2.0 to MIT

2026-09-03

Provider Added

Runtime surface grew — new detected provider dependency: Anthropic

2026-09-01

Grade Changed

Trust grade B → A

Maintainer Checklist

Raise Scorecard signals Current OSSF Scorecard is 6.2/10. Tighten the weakest checks to improve public safety evidence.

Increase signed commits Raise the share of verified-signed commits to make maintainer identity and release history easier to trust.

Compare with another agent Get email alerts for Google Analytics MCP View MCP Servers Report missing data

64.0

Activity sub-score · out of 100

#38

In MCP Servers

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade A reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage B is separate — it grades how many independent signal types back the score (3 of 5), so a high score on thin evidence stays visible. Full methodology →

Rank Trend

2026-08-11 2026-09-04

Activity & Reach

Stars

241

Forks

Last Push

2026-09-01

3 days ago

Commits (4 wk)

Downloads (7d)

3,970

pypi

HN mentions (30d)

—

Open Issues

Rank Change

▼3

was #92

Analysis

HVTrust Dimensions vs MCP Servers

80.1 / 100 · 100.0% confidence

Google Analytics MCP MCP Servers average (778 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits

15.3 / 25

5.7 above avg 9.6

Identity / Provenance60% listing status · 40% build provenance

18.0 / 18

4.6 above avg 13.4

Transparency50% declared license · 50% OSSF Scorecard

13.8 / 17

2.0 above avg 11.8

Maintenance60% last-push freshness · 40% commit activity

17.3 / 20

5.1 above avg 12.2

AdoptionLog-scaled stars · package downloads

10.5 / 20

4.2 above avg 6.3

Activity Inputs

64.0 / 100

StarsRepository reach

14.3 / 30

FreshnessLast push recency

24.6 / 25

ActivityRecent commits

17.2 / 25

CommunityFork signal

7.8 / 20

Supply Chain Trust

Package Provenance

Verified

pypi attestation

OSSF Scorecard

6.2 / 10

OpenSSF Scorecard · scanned Sep 3, 2026

Signed Commits

of last 100 commits verified

Binary-Artifacts 10

Branch-Protection 3

CI-Tests -1

CII-Best-Practices 0

Code-Review 0

Contributors 3

Dangerous-Workflow 10

Dependency-Update-Tool 10

Fuzzing 0

License 10

Maintained 10

Packaging 10

Pinned-Dependencies 2

SAST 10

Security-Policy 10

Signed-Releases -1

Token-Permissions 0

Vulnerabilities 6

Is Google Analytics MCP safe?

Public supply-chain signals for Google Analytics MCP are strong: it has multiple independent trust indicators in place. This does not replace your own security review, but Google Analytics MCP carries less obvious unverified-evidence risk than projects with thin signals.

Does Google Analytics MCP publish package provenance?

Yes. Google Analytics MCP's package releases carry build provenance attestations, which cryptographically link the published package back to its source repository and CI workflow.

Does Google Analytics MCP have an OpenSSF Scorecard?

Google Analytics MCP has an OpenSSF Scorecard score of 6.2/10. The Scorecard checks for branch protection, signed releases, dependency updates, fuzzing, code review, and other supply-chain hygiene items. See the full check breakdown on this page.

Is Google Analytics MCP actively maintained?

Actively maintained. The repository was pushed to within the last 3 day(s).

What license does Google Analytics MCP use?

Google Analytics MCP ships under MIT. A declared, OSI-approved license is one of the transparency signals HVTrust scores.

Are Google Analytics MCP's commits signed?

2% of the last 100 commits to Google Analytics MCP are verified-signed (GPG, SSH, S/MIME, or GitHub's signing flow). Signed commits help confirm that code was authored by who the commit claims.

Not a safety endorsement. HVTracker describes what public signals show, not whether a project is safe for your use case. Run your own security review before adopting in production.

AI agent surface

MCP, providers, tool surface

Scored in HVTrust

These runtime-trust fields — detected from public repo docs and manifests — contribute a bounded adjustment to this project's HVTrust score alongside supply-chain evidence. The exact values each field can add or subtract are documented in the methodology → Compare this surface across every listed agent in the capability matrix →

MCP Server Support

medium confidence

Implemented

Google Analytics MCP appears to expose MCP server capabilities.

Detailed evidence is not shown in the public view.

External Service Dependencies

high confidence

2 detected

Public provider/service dependencies detected.

Credential signal: No explicit API-key/config marker detected.

Tool / Plugin Surface

medium confidence

Declared

Declared plugin/integration surface detected.

Detailed evidence is not shown in the public view.

Package Provenance Drift

high confidence

Match

Published package metadata matches the tracked repo

Detailed evidence is not shown in the public view.

MCP signal live
External deps live
Tool / plugin surface live
Package provenance drift live

How this surface has changed

Detected changes to Google Analytics MCP's runtime surface and supply-chain posture, from daily public-signal snapshots. A change here means our detectors see something different — a genuinely changed capability, or better evidence of an existing one.

2026-09-03

Provider Added

Runtime surface grew — new detected provider dependency: Anthropic

Maintain Google Analytics MCP?

For maintainers

HVTrust scores Google Analytics MCP from public signals only — we never contact maintainers first. If a signal is wrong, stale, or missing (provenance you publish, a Scorecard you run, signed releases), tell us and we'll review it. Corrections are public and tracked on GitHub.

Submit a correction → Add the trust badge

Reputation Timeline

Signal history

2026-09-03

License Changed

License changed from Apache-2.0 to MIT

2026-09-03

Provider Added

Runtime surface grew — new detected provider dependency: Anthropic

2026-09-01

Grade Changed

Trust grade B → A

2026-08-31

Grade Changed

Trust grade A → B

2026-08-31

Rank Moved

Rank dropped 10 spots (#86 → #96)

2026-08-30

Scorecard Added

OSSF Scorecard: 6.2/10

2026-08-30

Grade Changed

Trust grade B → A

2026-08-30

Rank Moved

Rank rose 139 spots (#225 → #86)

2026-08-30

HVTrust Changed

HVTrust up 13.0pts (67.3 → 80.3)

2026-08-29

Rank Moved

Rank dropped 15 spots (#210 → #225)

2026-08-28

Rank Moved

Rank dropped 10 spots (#200 → #210)

2026-08-27

Rank Moved

Rank dropped 10 spots (#190 → #200)

2026-08-26

Rank Moved

Rank dropped 19 spots (#171 → #190)

2026-08-24

Rank Moved

Rank dropped 13 spots (#155 → #168)

2026-08-19

Rank Moved

Rank dropped 12 spots (#149 → #161)

2026-08-17

Rank Moved

Rank rose 11 spots (#160 → #149)

2026-08-13

Rank Moved

Rank dropped 12 spots (#154 → #166)

2026-08-10

Rank Moved

Rank dropped 13 spots (#141 → #154)

2026-08-08

Newly Listed

First tracked at rank #139

GitHub → PyPI: google-analytics-mcp

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Other agents in MCP Servers

Data sources
GitHub REST API (repo, commits, stars, forks, license) · PyPI / pypistats (downloads, provenance) · OpenSSF Scorecard CLI
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.3 · Raw JSON