io.github.Jarvis-27/mcp-db-agent

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v1.0.1io.github.Jarvis-27UnknownUpdated 1mo agoGitHub

Query PostgreSQL databases in plain English — LLM-generated, safety-validated SQL.

Ask your database questions in plain English. PlainQuery connects any PostgreSQL or SQLite database to Claude, Cursor, or VS Code — and answers with real, structured data instead of guesses. You connect a database once. Then, from any MCP client, you ask questions like: "How many orders did we ship in March?" "Which 5 customers spent the most last year?" "What's the average order value by month?"…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
1mo agoLast update
Package
Authorio.github.Jarvis-27
LicenseUnknown
Version1.0.1
Sourcemcp-registry
Trust Status
B
60/100Good
Listed in Forge index+10/10
Publisher identity verified+0/25
Publisher: run `forge publish` from the package repo to claim ownership
Ed25519 publish signature+0/10
Included automatically when the publisher runs `forge publish`
Domain verification+0/5
Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
CVE scan · not run+0/30
Not yet scanned — package must be on npm
Static analysis · clean+20/20
npm provenance (Sigstore)+0/5
Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain
Provenance
DependenciesNot audited
Tool surface
Security scan✓ CleanvHEAD · 19d ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

Ask your database questions in plain English. PlainQuery connects any PostgreSQL or SQLite database to Claude, Cursor, or VS Code — and answers with real, structured data instead of guesses. You connect a database once. Then, from any MCP client, you ask questions like: "How many orders did we ship in March?" "Which 5 customers spent the most last year?" "What's the average order value by month?" PlainQuery introspects your schema, generates SQL with an LLM, validates it for safety, runs it,…

Keywords
mcp