Is Amazon Ads MCP safe to use?

Amazon Ads MCP has an HVTrust score of 68.0/100 (Grade B), ranked #374 of 1325 tracked AI agent projects. This score reflects verifiable supply-chain integrity, transparency, maintenance, and adoption signals.

What is the trust score for Amazon Ads MCP?

Amazon Ads MCP scores 68.0/100 on HVTracker's evidence-weighted HVTrust scale. It has 70 GitHub stars and is categorized under MCP Servers.

Amazon Ads MCP

KuudoAI/amazon_ads_mcp

Amazon Ads MCP - Model Context Protocol server for Amazon Advertising API

MCP Servers Python Listed MIT

Is Amazon Ads MCP safe? Promising trust profile, but some evidence still deserves review.

OSSF Scorecard 5.2 / 10

Provenance Attested

Signed commits 30%

Last push 20d ago

Compare Amazon Ads MCP

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In detail: Amazon Ads MCP scores 68.0/100 (Grade B), ranked #374 of 1325 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 5.2/10; 30% of recent commits are signed; last pushed 2026-09-06. Every point is earned from checkable signals — never paid placement. How scoring works →

How Amazon Ads MCP compares in MCP Servers

Bars show each HVTrust score; the tick marks Amazon Ads MCP’s 68.0.

Where the 68.0 comes from

HVTrust dimensions vs the MCP Servers average

68.0 / 100 · 100.0% confidence

Amazon Ads MCP MCP Servers average (775 agents)

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

15.5 / 25

5.2 above avg 10.3

Identity / Provenance60% listing status · 40% build provenance

18.0 / 18

4.6 above avg 13.4

Transparency50% declared license · 50% OSSF Scorecard

12.9 / 17

0.7 above avg 12.2

Maintenance60% last-push freshness · 40% commit activity

13.1 / 20

1.0 above avg 12.1

AdoptionLog-scaled stars · package downloads

7.5 / 20

in line with avg 7.2

Quick Trust Read

What Would Improve It

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

Recent Changes

2026-09-26

Rank Moved

Rank rose 16 spots (#390 → #374)

2026-09-23

Provider Added

Runtime surface grew — new detected provider dependency: OpenAI

2026-09-23

Mcp Status Changed

Detected MCP server support changed: none → implemented

Maintainer Checklist

Raise Scorecard signals Current OSSF Scorecard is 5.2/10. 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 Amazon Ads MCP View MCP Servers Report missing data

47.3

Activity sub-score · out of 100

#226

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 B 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 2026-09-26

Activity & Reach

Stars

Forks

Last Push

2026-09-06

20 days ago

Commits (4 wk)

Downloads (7d)

195

pypi

HN mentions (30d)

—

Open Issues

Rank Change

▲16

was #390

Analysis

Activity Inputs

47.3 / 100

StarsRepository reach

11.1 / 30

FreshnessLast push recency

22.2 / 25

ActivityRecent commits

7.5 / 25

CommunityFork signal

6.3 / 20

Supply Chain Trust

Package Provenance

Verified

pypi attestation

OSSF Scorecard

5.2 / 10

OpenSSF Scorecard · scanned Sep 25, 2026

Signed Commits

30%

of last 100 commits verified

Binary-Artifacts 10

Branch-Protection 0

CI-Tests 10

CII-Best-Practices 0

Code-Review 0

Contributors 10

Dangerous-Workflow 10

Dependency-Update-Tool 10

Fuzzing 0

License 10

Maintained 10

Packaging 10

Pinned-Dependencies 0

SAST 10

Security-Policy 0

Signed-Releases -1

Token-Permissions 0

Vulnerabilities 1

Common questions about Amazon Ads MCP

Amazon Ads MCP has a mixed signal profile. Some trust indicators are present, others are missing. Whether it is safe for your use case depends on which gaps matter to you — review the breakdown below before adopting in production.

Does Amazon Ads MCP publish package provenance?

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

Does Amazon Ads MCP have an OpenSSF Scorecard?

Amazon Ads MCP has an OpenSSF Scorecard score of 5.2/10. 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 Amazon Ads MCP actively maintained?

Maintained. Last push was 20 days ago.

What license does Amazon Ads MCP use?

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

Are Amazon Ads MCP's commits signed?

30% of the last 100 commits to Amazon Ads 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

high confidence

Implemented

Amazon Ads MCP appears to expose MCP server capabilities.

Detailed evidence is not shown in the public view.

External Service Dependencies

high confidence

1 detected

Public provider/service dependencies detected.

OpenAI

Credential signal: API keys or service config markers documented.

Tool / Plugin Surface

None detected

No clear plugin system or broad tool surface detected.

Detailed evidence is not shown in the public view.

Package Provenance Drift

low confidence

Unknown

Package source metadata is missing or inconclusive

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 Amazon Ads 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.

2026-09-23

Provider Added

Runtime surface grew — new detected provider dependency: OpenAI

2026-09-23

Mcp Status Changed

Detected MCP server support changed: none → implemented

2026-09-23

Provenance Added

Package provenance attestation detected

Maintain Amazon Ads MCP?

For maintainers

HVTrust scores Amazon Ads 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

2026-09-26

Rank Moved

Rank rose 16 spots (#390 → #374)

2026-09-23

Provider Added

Runtime surface grew — new detected provider dependency: OpenAI

2026-09-23

Mcp Status Changed

Detected MCP server support changed: none → implemented

2026-09-23

Provenance Added

Package provenance attestation detected

2026-09-23

Grade Changed

Trust grade D → B

2026-09-23

Rank Moved

Rank rose 539 spots (#919 → #380)

2026-09-23

HVTrust Changed

HVTrust up 41.5pts (26.4 → 67.9)

2026-09-22

Newly Listed

First tracked at rank #919

2026-09-21

Removed From Active Tracking

Removed from active tracking

2026-09-19

Rank Moved

Rank dropped 14 spots (#353 → #367)

2026-09-16

Rank Moved

Rank rose 20 spots (#369 → #349)

2026-09-11

Rank Moved

Rank dropped 11 spots (#343 → #354)

2026-09-09

Rank Moved

Rank rose 12 spots (#354 → #342)

2026-09-07

Rank Moved

Rank dropped 48 spots (#302 → #350)

2026-09-06

Grade Changed

Trust grade C → B

2026-09-06

Rank Moved

Rank rose 116 spots (#418 → #302)

2026-09-06

HVTrust Changed

HVTrust up 5.1pts (64.1 → 69.2)

2026-09-06

Activity Score Changed

Activity score up 13pts (36 → 49)

2026-09-05

Rank Moved

Rank dropped 68 spots (#350 → #418)

2026-09-04

Rank Moved

Rank dropped 13 spots (#337 → #350)

2026-09-03

Scorecard Added

OSSF Scorecard: 5.4/10

2026-09-03

Rank Moved

Rank rose 297 spots (#634 → #337)

2026-09-03

HVTrust Changed

HVTrust up 11.4pts (52.9 → 64.3)

2026-09-02

Grade Changed

Trust grade D → C

2026-09-02

Rank Moved

Rank rose 435 spots (#1069 → #634)

2026-09-02

HVTrust Changed

HVTrust up 18.9pts (34.0 → 52.9)

2026-09-01

Rank Moved

Rank dropped 41 spots (#1028 → #1069)

2026-08-31

Rank Moved

Rank dropped 35 spots (#993 → #1028)

2026-08-30

Rank Moved

Rank dropped 51 spots (#942 → #993)

2026-08-29

Rank Moved

Rank dropped 52 spots (#890 → #942)

2026-08-28

Rank Moved

Rank dropped 32 spots (#858 → #890)

2026-08-27

Rank Moved

Rank dropped 23 spots (#835 → #858)

2026-08-26

Rank Moved

Rank dropped 106 spots (#729 → #835)

2026-08-21

Rank Moved

Rank dropped 47 spots (#681 → #728)

2026-08-21

Activity Score Changed

Activity score down 13pts (51 → 38)

2026-08-16

Rank Moved

Rank dropped 13 spots (#661 → #674)

2026-08-15

Rank Moved

Rank dropped 10 spots (#651 → #661)

2026-08-10

Rank Moved

Rank dropped 26 spots (#622 → #648)

2026-08-08

Newly Listed

First tracked at rank #623

GitHub → PyPI: amazon-ads-mcp

Embed Badge Badge guide for maintainers →

For maintainers

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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