Is Markifact: AI Performance Marketing safe to use?

Markifact: AI Performance Marketing has an HVTrust score of 47.4/100 (Grade D), ranked #1011 of 1325 tracked AI agent projects. This score reflects verifiable supply-chain integrity, transparency, maintenance, and adoption signals.

What is the trust score for Markifact: AI Performance Marketing?

Markifact: AI Performance Marketing scores 47.4/100 on HVTracker's evidence-weighted HVTrust scale. It has 48 GitHub stars and is categorized under MCP Servers.

Markifact: AI Performance Marketing

markifact/markifact-mcp

MCP server for Google Ads, Meta Ads, GA4, TikTok Ads, and LinkedIn Ads. Manage 300+ ad operations from Claude, ChatGPT, Gemini, Cursor, or any AI client. Human-in-the-loop on every write.

MCP Servers Shell Listed MIT

Is Markifact: AI Performance Marketing safe? Thin or incomplete trust evidence. Review carefully before production use.

OSSF Scorecard 4.4 / 10

Provenance None

Signed commits 0%

Last push 6d ago

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In detail: Markifact: AI Performance Marketing scores 47.4/100 (Grade D), ranked #1011 of 1325 tracked open-source AI agent projects, on evidence coverage C (2 of 5 independent signal types). The public evidence: no package-provenance attestation found; OSSF Scorecard rates its supply-chain practices 4.4/10; recent commits are unsigned; last pushed 2026-09-20. Every point is earned from checkable signals — never paid placement. How scoring works →

How Markifact: AI Performance Marketing compares in MCP Servers

#590 scientific-illustrator 47.6 +0.2
#591 TONNode — TON blockchain access 47.5 +0.1
#592 Markifact: AI Performance Marketing 47.4 this agent
#593 Simplenote MCP 47.3 −0.1
#594 Dida RollingGo Hotel MCP Global 47.3 −0.1

Bars show each HVTrust score; the tick marks Markifact: AI Performance Marketing’s 47.4.

Where the 47.4 comes from

HVTrust dimensions vs the MCP Servers average

47.4 / 100 · 100.0% confidence

Markifact: AI Performance Marketing MCP Servers average (775 agents)

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

5.5 / 25

4.8 below avg 10.3

Identity / Provenance60% listing status · 40% build provenance

10.8 / 18

2.6 below avg 13.4

Transparency50% declared license · 50% OSSF Scorecard

12.2 / 17

in line with avg 12.2

Maintenance60% last-push freshness · 40% commit activity

13.6 / 20

1.5 above avg 12.1

AdoptionLog-scaled stars · package downloads

4.1 / 20

3.1 below avg 7.2

Quick Trust Read

What Would Improve It

Publish package provenance or release attestations for stronger supply-chain evidence.

Recent Changes

2026-09-23

Tool Surface Changed

Detected tool/plugin surface changed: none → declared

2026-09-23

Provider Added

Runtime surface grew — new detected provider dependencies: Anthropic, Google Gemini

2026-09-23

Mcp Status Changed

Detected MCP server support changed: none → implemented

Maintainer Checklist

Raise Scorecard signals Current OSSF Scorecard is 4.4/10. Tighten the weakest checks to improve public safety evidence.

Publish provenance Add package provenance or release attestations so users can verify where shipped artifacts came from.

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

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51.2

Activity sub-score · out of 100

#592

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 D reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage C is separate — it grades how many independent signal types back the score (2 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

2026-09-20

6 days ago

Commits (4 wk)

Downloads (7d)

—

HN mentions (30d)

—

Open Issues

Rank Change

▼3

was #1008

Analysis

Activity Inputs

51.2 / 100

StarsRepository reach

10.1 / 30

FreshnessLast push recency

24.2 / 25

ActivityRecent commits

12.5 / 25

CommunityFork signal

4.4 / 20

Supply Chain Trust

Package Provenance

None

No package attestations found

OSSF Scorecard

4.4 / 10

OpenSSF Scorecard · scanned Sep 26, 2026

Signed Commits

of last 100 commits verified

Binary-Artifacts 10

Branch-Protection 0

CI-Tests -1

CII-Best-Practices 0

Code-Review 0

Contributors 3

Dangerous-Workflow 10

Dependency-Update-Tool 0

Fuzzing 0

License 10

Maintained 9

Packaging -1

Pinned-Dependencies 0

SAST 0

Security-Policy 10

Signed-Releases -1

Token-Permissions 0

Vulnerabilities 10

Common questions about Markifact: AI Performance Marketing

Public trust evidence for Markifact: AI Performance Marketing is thin: several supply-chain signals are missing or weak. This does not mean the project is unsafe — it means an outside observer cannot easily verify the usual integrity checks. Treat with extra scrutiny.

Does Markifact: AI Performance Marketing publish package provenance?

No published build provenance is currently detected for Markifact: AI Performance Marketing. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.

Does Markifact: AI Performance Marketing have an OpenSSF Scorecard?

Markifact: AI Performance Marketing has an OpenSSF Scorecard score of 4.4/10. 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 Markifact: AI Performance Marketing actively maintained?

Actively maintained. The repository was pushed to within the last 6 day(s).

What license does Markifact: AI Performance Marketing use?

Markifact: AI Performance Marketing ships under MIT. A declared, OSI-approved license is one of the transparency signals HVTrust scores.

Are Markifact: AI Performance Marketing's commits signed?

0% of the last 100 commits to Markifact: AI Performance Marketing 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

Markifact: AI Performance Marketing 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

high confidence

Declared

Declared plugin/integration surface detected.

Detailed evidence is not shown in the public view.

Package Provenance Drift

N/A

No package source configured

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 Markifact: AI Performance Marketing'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

Tool Surface Changed

Detected tool/plugin surface changed: none → declared

2026-09-23

Provider Added

Runtime surface grew — new detected provider dependencies: Anthropic, Google Gemini

2026-09-23

Mcp Status Changed

Detected MCP server support changed: none → implemented

Maintain Markifact: AI Performance Marketing?

For maintainers

HVTrust scores Markifact: AI Performance Marketing 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

2026-09-23

Tool Surface Changed

Detected tool/plugin surface changed: none → declared

2026-09-23

Provider Added

Runtime surface grew — new detected provider dependencies: Anthropic, Google Gemini

2026-09-23

Mcp Status Changed

Detected MCP server support changed: none → implemented

2026-09-23

Rank Moved

Rank dropped 470 spots (#531 → #1001)

2026-09-23

HVTrust Changed

HVTrust up 8.6pts (39.0 → 47.6)

2026-09-22

Newly Listed

First tracked at rank #531

2026-09-21

Removed From Active Tracking

Removed from active tracking

2026-09-19

Rank Moved

Rank rose 25 spots (#1037 → #1012)

2026-09-19

Activity Score Changed

Activity score up 6pts (45 → 51)

2026-09-18

Rank Moved

Rank rose 36 spots (#1073 → #1037)

2026-09-18

Activity Score Changed

Activity score up 6pts (39 → 45)

2026-09-12

Rank Moved

Rank dropped 15 spots (#1059 → #1074)

2026-09-09

Rank Moved

Rank dropped 18 spots (#1036 → #1054)

2026-09-08

Rank Moved

Rank dropped 11 spots (#1025 → #1036)

2026-09-07

Rank Moved

Rank dropped 35 spots (#990 → #1025)

2026-09-06

Rank Moved

Rank dropped 13 spots (#977 → #990)

2026-09-05

Scorecard Added

OSSF Scorecard: 3.8/10

2026-09-05

Rank Moved

Rank rose 324 spots (#1301 → #977)

2026-09-05

HVTrust Changed

HVTrust up 25.7pts (19.0 → 44.7)

2026-09-02

Rank Moved

Rank dropped 17 spots (#1266 → #1283)

2026-09-01

Rank Moved

Rank dropped 14 spots (#1252 → #1266)

2026-08-31

Rank Moved

Rank dropped 16 spots (#1236 → #1252)

2026-08-30

Rank Moved

Rank dropped 18 spots (#1218 → #1236)

2026-08-29

Rank Moved

Rank dropped 15 spots (#1203 → #1218)

2026-08-28

Rank Moved

Rank dropped 17 spots (#1186 → #1203)

2026-08-27

Rank Moved

Rank dropped 12 spots (#1174 → #1186)

2026-08-26

Rank Moved

Rank dropped 52 spots (#1122 → #1174)

2026-08-24

Rank Moved

Rank dropped 12 spots (#1109 → #1121)

2026-08-19

Rank Moved

Rank rose 27 spots (#1143 → #1116)

2026-08-16

Rank Moved

Rank dropped 24 spots (#1123 → #1147)

2026-08-10

Rank Moved

Rank dropped 64 spots (#1053 → #1117)

2026-08-08

Newly Listed

First tracked at rank #1051

GitHub →

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For maintainers

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Other agents in MCP Servers

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