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mariadb

Skill Data & Analytics Solid
Works inClaude Code
Solid Scanned — metadata only

Reduces database connection overhead and query latency for teams running MariaDB/MySQL workloads.

fast mariadb or mysql connector.

411 starsLGPL-2.1 (commercial OK)Free

Reduces database connection overhead and query latency for teams running MariaDB/MySQL workloads. Native performance gains directly impact application response times and reduce infrastructure costs at scale.

Data engineering teams building analytics pipelines or transactional systems on MariaDB/MySQL infrastructure.

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https://www.npmjs.com/package/mariadb

By dbart

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
npx mariadb

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Help me query large datasets from MariaDB to analyze application performance metrics
CostFree

Trust Signals Auto-scanned

Stars411Contributors48Last updated2026-07-22LicenseLGPL-2.1 (OK for commercial use)Weekly downloads668,748Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-25 · scanner v1

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 411 GitHub stars; 48 contributors; last commit 3d ago; license LGPL-2.1.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
4/5
Reliability
5/5
Security
3/5
Overall score3.75 / 5.00 SolidEvaluatedJul 2026
Scored from trust signals (evidence-eval-v1): 411 GitHub stars; 48 contributors; last commit 3d ago; license LGPL-2.1.

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