updated 2026-11-11 00:08 UTC

DataDoe MCP

Repository Website

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MCP Servers TypeScript Listed MIT

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

OSSF Scorecard 2.9 / 10
Provenance None
Signed commits 0%
Last push 16d ago
Compare DataDoe MCP

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In detail: DataDoe MCP scores 43.7/100 (Grade D), ranked #1148 of 1387 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 2.9/10; recent commits are unsigned; last pushed 2026-10-26. Every point is earned from checkable signals — never paid placement. How scoring works →

How DataDoe MCP could raise its score

Each line changes one public signal and recomputes with the live scoring function. The gains don't add up exactly, because the score is capped near the top.

Already done? Suggest a correctionAdd the trust badge

Chain of custody

Scanners check what the code says. This traces who ships DataDoe MCP and whether that has changed: from the source repository, through how changes are reviewed and released, to the code you run. These are the checks for OWASP ASI04 Agentic Supply Chain Vulnerabilities.

  1. Source Unsigned

    github.com/Deltologic/datadoe-mcp, MIT, last pushed 2026-10-26. None of the last 100 commits carry a verified signature, so no change traces to a verified identity.

  2. Review and release Weak

    OpenSSF Scorecard rates the repository's practices 2.9/10 (scanned Nov 4, 2026). The checks that decide who can get a change released:

    • Code Review0
    • Branch Protection0
    • Signed Releasesn/a
    • Dangerous Workflow10
    • Token Permissions0
    • Pinned Dependencies0
    All 18 Scorecard checks
    Binary-Artifacts 10
    Branch-Protection 0
    CI-Tests 8
    CII-Best-Practices 0
    Code-Review 0
    Contributors 6
    Dangerous-Workflow 10
    Dependency-Update-Tool 0
    Fuzzing 0
    License 10
    Maintained 4
    Packaging -1
    Pinned-Dependencies 0
    SAST 0
    Security-Policy 0
    Signed-Releases -1
    Token-Permissions 0
    Vulnerabilities 0

  3. Published packages None

    No registry package. DataDoe MCP is used from its repository, so what you run is whatever you check out: pin a release tag or commit.

Changes to this chain

  • 2026-08-30 OSSF Scorecard: 2.9/10

Evidence behind this score

Coverage C: 2 of 5 independent evidence types found.

  • GitHub repository data
  • Package downloads (missing)
  • Supply-chain checks
  • Public actions (missing)
  • Community mentions (missing)

Verify this score yourself

Every build re-issues DataDoe MCP’s score as an Ed25519-signed credential, valid for 7 days. You can check it offline against HVTracker’s published key; if anyone changes a number after signing, verification fails.

Signed credential (JSON) How to verify

What this score doesn’t check

It covers who ships the code, not what the code does. It doesn’t read tool descriptions or prompts for injected instructions, watch runtime behaviour, or find bugs nobody has disclosed yet. For that, run a content scanner before you connect it, such as Cisco MCP Scanner or Snyk Agent Scan.

How DataDoe MCP compares in MCP Servers

  1. #653 Fattureincloud MCP 44.1 +0.4
  2. #654 Browserbase MCP Server 43.7 ±0
  3. #655 DataDoe MCP 43.7 this agent
  4. #656 MCP Eu Ai Act 43.6 −0.1
  5. #657 Kronan MCP 43.6 −0.1

Bars show each HVTrust score; the tick marks DataDoe MCP’s 43.7.

Where the 43.7 comes from

HVTrust dimensions vs the MCP Servers average

43.7 / 100 · 100.0% confidence

DataDoe MCP MCP Servers average (779 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
3.6 / 25
7.2 below avg 10.8
Identity / Provenance60% listing status · 40% build provenance
10.8 / 18
2.9 below avg 13.7
Transparency50% declared license · 50% OSSF Scorecard
11.0 / 17
1.3 below avg 12.3
Maintenance60% last-push freshness · 40% commit activity
13.3 / 20
1.0 above avg 12.3
AdoptionLog-scaled stars · package downloads
3.0 / 20
4.6 below avg 7.6

Quick Trust Read

What Would Improve It
Publish package provenance or release attestations for stronger supply-chain evidence.
Recent Changes
2026-11-03
Rank Moved
Rank rose 25 spots (#1161 → #1136)
2026-10-26
Provider Added
Runtime surface grew — new detected provider dependency: Google Gemini
2026-10-23
Rank Moved
Rank rose 15 spots (#1175 → #1160)
Maintainer Checklist
Raise Scorecard signals Current OSSF Scorecard is 2.9/10. 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.
Compare with another agent
View MCP Servers Report missing data
37.8
Activity sub-score · out of 100
#655
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 →

Signals refreshed 2026-11-11 00:08 UTC · Repo last pushed 16 days ago

Rank Trend

2026-09-29 2026-11-10

Activity & Reach

Stars
16
Forks
0
Last Push
2026-10-26
16 days ago
Commits (4 wk)
3
Downloads (7d)
—
HN mentions (30d)
—
Open Issues
0
Rank Change
=
was #1148

Analysis

Activity Inputs

37.8 / 100
StarsRepository reach
7.4 / 30
FreshnessLast push recency
22.8 / 25
ActivityRecent commits
7.5 / 25
CommunityFork signal
0.0 / 20

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 2.9/10. 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?
Maintained. Last push was 16 days ago.
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
medium confidence
1 detected
Public provider/service dependencies 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.

2026-10-26
Provider Added
Runtime surface grew — new detected provider dependency: Google Gemini
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
Rank 25HVTrust 3Score 2Scorecard 1Delisted 1Listed 1MCP 1Surface 1
2026-11-03
Rank Moved
Rank rose 25 spots (#1161 → #1136)
2026-10-26
Provider Added
Runtime surface grew — new detected provider dependency: Google Gemini
2026-10-23
Rank Moved
Rank rose 15 spots (#1175 → #1160)
2026-10-09
Rank Moved
Rank dropped 12 spots (#1136 → #1148)
2026-10-06
Rank Moved
Rank rose 66 spots (#1200 → #1134)
2026-10-06
HVTrust Changed
HVTrust up 3.3pts (38.9 → 42.2)
2026-10-06
Activity Score Changed
Activity score up 9pts (27 → 36)
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)
GitHub → Website →

Embed Badge Badge guide for maintainers →

For maintainers
HVTrust 43.7 Grade D
Markdown:
[![HVTrust](https://hvtracker.net/badge/datadoe-mcp.svg)](https://hvtracker.net/agents/datadoe-mcp)
HTML:
<a href="https://hvtracker.net/agents/datadoe-mcp"><img src="https://hvtracker.net/badge/datadoe-mcp.svg" alt="HVTrust"></a>

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 v4.4 · Raw JSON