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Open source · Go · FREE Nobody reads database metrics. pgbot does. pgbot — inspect — 96×32 ➜~ Connect your Postgres. Get answers, not dashboards: what's healthy, what's broken, and what to fix first. $ curl -fsSL https://pgbot.dev/install | sh pgbot Works with any cloud: pgrun How it connects Two paths to the same place: connect directly over the wire, or run the agent next to a database that never leaves your network.
pgbot.dev │ ┌───────────────────┴───────────────────┐ │ │ Direct PostgreSQL access pgBot agent │ │ Supabase · Neon · RDS Docker · Kubernetes PlanetScale · public DBs Private servers · VPC │ │ └───────────────────┬───────────────────┘ ▼ PostgreSQL Features Connect any PostgreSQL database and get visibility into performance, queries, health, schema, and changes — with AI-powered explanations.
01See database health in real timeMonitor connections, locks, transactions, cache hit ratio, replication, WAL, and overall database health. 02Understand query performanceTrack slow queries, regressions, throughput, query latency, and expensive SQL using PostgreSQL statistics. 03Inspect tables and indexesAnalyze table growth, index usage, unused indexes, missing indexes, vacuum activity, and storage patterns.
04Get AI-powered insightsAsk pgBot questions in plain English and get summaries, explanations, and recommendations based on real database signals. 05Works with any PostgreSQLConnect directly to public databases or use the pgBot Agent for private environments like Docker, Kubernetes, and internal servers. 06Built for secure production useRead-only access, open-source agent, and support for private deployments without exposing your database publicly. MCP — use pgbot as an agent tool pgbot mcp speaks the Model Context Protocol on stdio, so an AI agent can call pgbot as a read-only tool. It exposes deterministic tools only — inspect (full findings as JSON) and unused_indexes — and lets the connected model do the explaining. No Gemini key involved: the agent reasons over the same findings the CLI computes. Add it to any MCP client (Claude Desktop/Code, Cursor, …) { "mcpServers": { "pgbot": { "command": "pgbot", "args": ["mcp"], "env": { "DATABASE_URL": "postgres://pgbot_ro@host:5432/db" } } } } Read-only by constructionWith DATABASE_URL set, the agent calls inspect with no arguments; or it can pass connection_string per call to reach several databases. pgbot never writes, so there's nothing an agent can break through it. Tools, prompts, and resourcesIt also exposes a diagnose prompt — a one-click "inspect and give me a prioritized diagnosis" workflow — and a pgbot://baselines resource listing the databases pgbot has local history for. Core features +PostgreSQL health monitoring +Query performance analysis +Slow query and regression detection +Locks and blocking query insights +Table and index analytics +Vacuum and autovacuum visibility +Database growth tracking +AI root-cause analysis +AI-powered recommendations +Direct connection or agent-based private access Why pgBot Not just metrics. Context.pgBot helps you understand what changed and why it matters. Not just dashboards. Explanations.Ask questions in plain English and get actionable answers. Not just for hosted Postgres.Use pgBot with Supabase, Neon, RDS, Docker, Kubernetes, and private servers. Not just observability. An AI DBA.Get insights that help you find issues faster and make better decisions. Point it at a database. Read-only by default. Nothing leaves your infrastructure unless you say so. pgbot 550