Is DataDoe MCP safe to use?

DataDoe MCP has an HVTrust score of 39.5/100 (Grade D), ranked #1175 of 1325 tracked AI agent projects. This score reflects verifiable supply-chain integrity, transparency, maintenance, and adoption signals.

What is the trust score for DataDoe MCP?

DataDoe MCP scores 39.5/100 on HVTracker's evidence-weighted HVTrust scale. It has 15 GitHub stars and is categorized under MCP Servers.

DataDoe MCP

Deltologic/datadoe-mcp

Hosted Amazon Seller & Vendor MCP server. Connect Claude, ChatGPT, Cursor, Codex, Gemini, GitHub Copilot to Amazon SP-API and Ads API data

MCP Servers TypeScript Listed MIT

Is DataDoe MCP safe? Thin or incomplete trust evidence. Review carefully before production use.

OSSF Scorecard 2.6 / 10

Provenance None

Signed commits 0%

Last push 31d ago

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In detail: DataDoe MCP scores 39.5/100 (Grade D), ranked #1175 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 2.6/10; recent commits are unsigned; last pushed 2026-08-26. Every point is earned from checkable signals — never paid placement. How scoring works →

How DataDoe MCP compares in MCP Servers

Bars show each HVTrust score; the tick marks DataDoe MCP’s 39.5.

Where the 39.5 comes from

HVTrust dimensions vs the MCP Servers average

39.5 / 100 · 100.0% confidence

DataDoe MCP MCP Servers average (775 agents)

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

3.2 / 25

7.1 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

10.7 / 17

1.5 below avg 12.2

Maintenance60% last-push freshness · 40% commit activity

9.9 / 20

2.2 below avg 12.1

AdoptionLog-scaled stars · package downloads

2.9 / 20

4.3 below avg 7.2

Quick Trust Read

What Would Improve It

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

Recent Changes

2026-09-25

Rank Moved

Rank dropped 29 spots (#1144 → #1173)

2026-09-23

Mcp Status Changed

Detected MCP server support changed: none → implemented

2026-09-23

Rank Moved

Rank dropped 429 spots (#715 → #1144)

Maintainer Checklist

Raise Scorecard signals Current OSSF Scorecard is 2.6/10. 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.

Refresh maintenance signals The repo was last pushed 31 days ago. Fresh activity helps separate stable projects from stale ones.

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

28.0

Activity sub-score · out of 100

#698

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

2026-08-26

31 days ago

Commits (4 wk)

Downloads (7d)

—

HN mentions (30d)

—

Open Issues

Rank Change

▼2

was #1173

Analysis

Activity Inputs

28.0 / 100

StarsRepository reach

7.2 / 30

FreshnessLast push recency

20.7 / 25

ActivityRecent commits

0.0 / 25

CommunityFork signal

0.0 / 20

Supply Chain Trust

Package Provenance

None

No package attestations found

OSSF Scorecard

2.6 / 10

OpenSSF Scorecard · scanned Sep 20, 2026

Signed Commits

of last 100 commits verified

Binary-Artifacts 10

Branch-Protection 0

CI-Tests 6

CII-Best-Practices 0

Code-Review 0

Contributors 6

Dangerous-Workflow 10

Dependency-Update-Tool 0

Fuzzing 0

License 10

Maintained 1

Packaging -1

Pinned-Dependencies 0

SAST 0

Security-Policy 0

Signed-Releases -1

Token-Permissions 0

Vulnerabilities 0

Common questions about DataDoe MCP

Public trust evidence for DataDoe MCP 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 DataDoe MCP publish package provenance?

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

Does DataDoe MCP have an OpenSSF Scorecard?

DataDoe MCP has an OpenSSF Scorecard score of 2.6/10. 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 DataDoe MCP actively maintained?

Slowing down. Last push was 31 days ago — keep an eye on whether activity resumes.

What license does DataDoe MCP use?

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

Are DataDoe MCP's commits signed?

0% of the last 100 commits to DataDoe 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

DataDoe MCP appears to expose MCP server capabilities.

Detailed evidence is not shown in the public view.

External Service Dependencies

None detected

No clear third-party provider dependency detected.

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

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

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 DataDoe 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

Mcp Status Changed

Detected MCP server support changed: none → implemented

Maintain DataDoe MCP?

For maintainers

HVTrust scores DataDoe 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

2026-09-25

Rank Moved

Rank dropped 29 spots (#1144 → #1173)

2026-09-23

Mcp Status Changed

Detected MCP server support changed: none → implemented

2026-09-23

Rank Moved

Rank dropped 429 spots (#715 → #1144)

2026-09-23

HVTrust Changed

HVTrust up 10.4pts (30.5 → 40.9)

2026-09-22

Newly Listed

First tracked at rank #715

2026-09-21

Removed From Active Tracking

Removed from active tracking

2026-09-18

Rank Moved

Rank dropped 11 spots (#1127 → #1138)

2026-09-12

Rank Moved

Rank dropped 15 spots (#1105 → #1120)

2026-09-09

Rank Moved

Rank dropped 16 spots (#1085 → #1101)

2026-09-07

Rank Moved

Rank dropped 30 spots (#1047 → #1077)

2026-09-06

Rank Moved

Rank dropped 16 spots (#1031 → #1047)

2026-09-05

Rank Moved

Rank dropped 40 spots (#991 → #1031)

2026-09-04

Rank Moved

Rank dropped 11 spots (#980 → #991)

2026-09-03

Rank Moved

Rank dropped 55 spots (#925 → #980)

2026-09-02

Rank Moved

Rank dropped 70 spots (#855 → #925)

2026-09-01

Rank Moved

Rank dropped 31 spots (#824 → #855)

2026-08-31

Rank Moved

Rank dropped 30 spots (#794 → #824)

2026-08-30

Scorecard Added

OSSF Scorecard: 2.9/10

2026-08-30

Rank Moved

Rank rose 418 spots (#1212 → #794)

2026-08-30

HVTrust Changed

HVTrust up 23.5pts (19.5 → 43.0)

2026-08-29

Rank Moved

Rank dropped 22 spots (#1190 → #1212)

2026-08-28

Rank Moved

Rank dropped 17 spots (#1173 → #1190)

2026-08-27

Rank Moved

Rank dropped 15 spots (#1158 → #1173)

2026-08-26

Rank Moved

Rank rose 16 spots (#1174 → #1158)

2026-08-26

Activity Score Changed

Activity score up 8pts (27 → 36)

2026-08-23

Rank Moved

Rank dropped 30 spots (#1140 → #1170)

2026-08-20

Rank Moved

Rank dropped 11 spots (#1138 → #1149)

2026-08-16

Rank Moved

Rank dropped 22 spots (#1118 → #1140)

2026-08-10

Rank Moved

Rank dropped 64 spots (#1048 → #1112)

2026-08-08

Newly Listed

First tracked at rank #1049

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