io.github.isdaniel/pgtuner_mcp

MCPcommunity
v0.5.2io.github.isdanielUnknownUpdated 8mo agoGitHub

provides AI-powered PostgreSQL performance tuning capabilities.

A Model Context Protocol (MCP) server that provides AI-powered PostgreSQL performance tuning capabilities. This server helps identify slow queries, recommend optimal indexes, analyze execution plans, and leverage HypoPG for hypothetical index testing. Retrieve slow queries from with detailed statistics Analyze query execution plans with and Identify performance bottlenecks with automated plan…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
8mo agoLast update
Package
Authorio.github.isdaniel
LicenseUnknown
Version0.5.2
Sourcemcp-registry
Trust Status
B
60/100Good
Listed in Forge index+10/10
Publisher identity verified+0/20
Publisher: run `forge publish` from the package repo to claim ownership
Ed25519 publish signature+0/5
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>" }
npm Trusted Publishing (Sigstore)+0/5
Publish from GitHub Actions with --provenance so the attestation binds this package to this repo
npm maintainer match+0/5
Earned once your identity is verified above and that login is an npm maintainer of this package
CVE scan · clean+30/30
Static analysis · clean+20/20
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✓ Cleanv0.6.0 · 2mo 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

A Model Context Protocol (MCP) server that provides AI-powered PostgreSQL performance tuning capabilities. This server helps identify slow queries, recommend optimal indexes, analyze execution plans, and leverage HypoPG for hypothetical index testing. Retrieve slow queries from with detailed statistics Analyze query execution plans with and Identify performance bottlenecks with automated plan analysis Monitor active queries and detect long-running transactions AI-powered index recommendations…

Keywords
mcp