Is Yantrikdb MCP safe to use?

Yantrikdb MCP has an HVTrust score of 74.9/100 (Grade B), ranked #154 of 1320 tracked AI agent projects. This score reflects verifiable supply-chain integrity, transparency, maintenance, and adoption signals.

What is the trust score for Yantrikdb MCP?

Yantrikdb MCP scores 74.9/100 on HVTracker's evidence-weighted HVTrust scale. It has 24 GitHub stars and is categorized under MCP Servers.

Yantrikdb MCP

yantrikos/yantrikdb-mcp

Persistent cognitive memory for AI agents — drop-in MCP server for Claude Code, Cursor, Windsurf. Temporal decay, contra

MCP Servers Python Grade B Listed MIT

74.9/100

Rank #154 of 1320

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Promising trust profile, but some evidence still deserves review.

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Listing state

Listed

Evidence coverage

Grade B · 3/5 signals

Last push

2026-08-26 · 9d ago

Recent change

Rank +6

Is Yantrikdb MCP safe? Yantrikdb MCP scores 74.9/100 (Grade B), ranked #154 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 4.8/10; 38% of recent commits are signed; last pushed 2026-08-26. Every point is earned from checkable signals — never paid placement. How scoring works →

Ranked neighbours in MCP Servers

#74 Sonilo Music & Sound Effects — 75.3 (B) → #75 MCP Server Trello — 74.9 (B) → #77 Delimit — API Governance for AI Coding Assistants — 74.7 (B) → #78 ITASCA MCP Server — 74.5 (B) →

Quick Trust Read

What Would Improve It

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

Recent Changes

2026-09-03

Rank Moved

Rank rose 28 spots (#177 → #149)

2026-09-03

HVTrust Changed

HVTrust up 3.1pts (72.1 → 75.2)

2026-08-31

Rank Moved

Rank dropped 24 spots (#144 → #168)

Maintainer Checklist

Raise Scorecard signals Current OSSF Scorecard is 4.8/10. 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.

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54.5

Activity sub-score · out of 100

#76

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 2026-09-04

Activity & Reach

Stars

Forks

Last Push

2026-08-26

9 days ago

Commits (4 wk)

Downloads (7d)

305

pypi

HN mentions (30d)

—

Open Issues

Rank Change

▼5

was #149

Analysis

HVTrust Dimensions vs MCP Servers

74.9 / 100 · 100.0% confidence

Yantrikdb MCP MCP Servers average (778 agents)

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

15.4 / 25

5.8 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

12.6 / 17

0.8 above avg 11.8

Maintenance60% last-push freshness · 40% commit activity

17.2 / 20

5.0 above avg 12.2

AdoptionLog-scaled stars · package downloads

6.7 / 20

in line with avg 6.3

Activity Inputs

54.5 / 100

StarsRepository reach

8.4 / 30

FreshnessLast push recency

23.8 / 25

ActivityRecent commits

18.1 / 25

CommunityFork signal

4.2 / 20

Supply Chain Trust

Package Provenance

Verified

pypi attestation

OSSF Scorecard

4.8 / 10

OpenSSF Scorecard · scanned Sep 2, 2026

Signed Commits

38%

of last 100 commits verified

Binary-Artifacts 10

Branch-Protection 3

CI-Tests 8

CII-Best-Practices 0

Code-Review 0

Contributors 10

Dangerous-Workflow 10

Dependency-Update-Tool 0

Fuzzing 0

License 10

Maintained 10

Packaging 10

Pinned-Dependencies 0

SAST 0

Security-Policy 0

Signed-Releases -1

Token-Permissions 0

Vulnerabilities 10

Is Yantrikdb MCP safe?

Yantrikdb 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 Yantrikdb MCP publish package provenance?

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

Does Yantrikdb MCP have an OpenSSF Scorecard?

Yantrikdb MCP has an OpenSSF Scorecard score of 4.8/10. 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 Yantrikdb MCP actively maintained?

Maintained. Last push was 9 days ago.

What license does Yantrikdb MCP use?

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

Are Yantrikdb MCP's commits signed?

37% of the last 100 commits to Yantrikdb 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

Yantrikdb MCP appears to expose MCP server capabilities.

Detailed evidence is not shown in the public view.

External Service Dependencies

low confidence

None detected

No clear third-party provider dependency detected.

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

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

Maintain Yantrikdb MCP?

For maintainers

HVTrust scores Yantrikdb 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

Rank Moved

Rank rose 28 spots (#177 → #149)

2026-09-03

HVTrust Changed

HVTrust up 3.1pts (72.1 → 75.2)

2026-08-31

Rank Moved

Rank dropped 24 spots (#144 → #168)

2026-08-30

Scorecard Added

OSSF Scorecard: 4.8/10

2026-08-30

Grade Changed

Trust grade C → B

2026-08-30

Rank Moved

Rank rose 190 spots (#334 → #144)

2026-08-30

HVTrust Changed

HVTrust up 10.1pts (62.2 → 72.3)

2026-08-26

Rank Moved

Rank dropped 22 spots (#294 → #316)

2026-08-24

Rank Moved

Rank dropped 17 spots (#280 → #297)

2026-08-22

Rank Moved

Rank rose 13 spots (#295 → #282)

2026-08-19

Rank Moved

Rank dropped 11 spots (#283 → #294)

2026-08-17

Rank Moved

Rank rose 21 spots (#312 → #291)

2026-08-13

Rank Moved

Rank dropped 15 spots (#291 → #306)

2026-08-12

Rank Moved

Rank rose 20 spots (#311 → #291)

2026-08-10

Rank Moved

Rank dropped 21 spots (#289 → #310)

2026-08-08

Newly Listed

First tracked at rank #292

GitHub → PyPI: yantrikdb-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