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pgtuner_mcp

MCP Developer Tools

An AI‑powered Model Context Protocol (MCP) server that analyzes PostgreSQL workloads and recommends performance tuning actions such as slow‑query detection, index suggestions, health scoring, and configuration advice.

Track releases GitHub
Python Latest v0.6.0 · 1mo ago Security brief →

Features

  • AI‑driven query analysis: extract slow queries from pg_stat_statements and explain execution plans
  • Hypothetical index testing with HypoPG for risk‑free optimization recommendations
  • Comprehensive database health scoring covering connections, cache hits, lock contention, vacuum status, replication lag and I/O performance

Recent releases

View all 5 releases →
No immediate action
v0.6.0 Bug fix

Replication rollback fix

Open
Monitor
v0.5.0 New feature

Vacuum monitoring + disk I/O tools

Open
No immediate action
v0.4.0 New feature

User exclusion filter

Open
No immediate action
v0.3.0 New feature

pgstattuple-based bloat detection

Open
No immediate action
v0.2.0 New feature

HypoPG service methods

Open

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Python Dockerfile Makefile
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Install & Platforms

Install via
pip

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Beta — feedback welcome: [email protected]