Postgres AIops

Disclaimer: Community-maintained open-source project. Not affiliated with, endorsed by, or sponsored by the PostgreSQL Global Development Group or any vendor. "PostgreSQL" and the elephant logo are trademarks of the PostgreSQL Community Association; all product/trademark names belong to their respective owners. MIT licensed.

Governed AI-ops for PostgreSQL DBA operations — connecting to a server with psycopg 3 and reading the system catalogs and pg_stat_* views — with a built-in governance harness: unified audit log, token/runaway budget guard, undo-token recording, and descriptive risk-tier labels. Beyond the mock test suite, the reads, a governed write, and its undo have been exercised against a live PostgreSQL 16.14 instance — see docs/VERIFICATION.md.

What it does

Three flagship signature analyses, plus the guarded reads and writes around them:

• Slow-query RCA — take the worst pg_stat_statements entry (plus an optional EXPLAIN plan) and map its numbers — mean time, cache-hit ratio, temp spill, call count, plan node types — to a cited cause and a concrete action. Every finding carries its measured number, not a black-box verdict.
• Bloat & vacuum analysis — combine per-table dead-tuple ratio and autovacuum recency into a ranked, cited recommendation (VACUUM / tune autovacuum).
• Blocking lock-chain RCA — build the wait-for tree from pg_blocking_pids, name the root blocker (blocks others, waits on none), and give the action; a cycle is flagged as a likely deadlock.

What works

• CLI (postgres-aiops ...): init, overview, server, activity, query, index, table, repl, analyze, remediate, secret, doctor, mcp.
• MCP server (postgres-aiops mcp or postgres-aiops-mcp): 35 tools (25 read, 10 write), every one wrapped with the bundled @governed_tool harness.
• Encrypted credentials: the role password lives in an encrypted store ~/.postgres-aiops/secrets.enc (Fernet + scrypt) — never plaintext on disk. Unlock with a master password from POSTGRES_AIOPS_MASTER_PASSWORD (MCP/CI) or an interactive prompt (CLI).
• Reversibility: mutating writes fetch the real before-state first and record a faithful inverse — create_index↔drop_index; drop_index captures pg_get_indexdef so undo recreates it exactly; update_setting captures the prior value so undo sets it back. Irreversible ops (terminate_backend, cancel_query, run_vacuum, run_analyze, reindex, reset_query_stats) record prior stats for audit but declare no undo.
• Safety: every state-changing CLI op supports --dry-run and requires double confirmation; every write MCP tool takes a dry_run preview. All identifiers that cannot be parameterised (table/index/GUC names) are validated and quoted; all values are bound query parameters.

Capability matrix (35 MCP tools)

The flagship analyses accept injected records for pure/offline analysis, or pull live from a configured target. top_queries/slow_query_rca require the pg_stat_statements extension; the read role should have pg_monitor.

What this tool does, and does not, decide

It delivers PostgreSQL DBA operations — reads and writes — accurately and efficiently, and records every one of them. It does not decide whether a write is allowed to happen. That is the agent's judgement, or the permission of the account you connect it with: connect with a PostgreSQL role that has no write privileges (a read-only role, or one without INSERT/UPDATE/DELETE/DDL), and the writes fail at the server — the place that actually owns the permission.

So there is no read-only switch, no policy file, no approval gate to configure. The one thing the tool guarantees is that nothing is silent: every call, over MCP and over the CLI alike, lands an audit row in ~/.postgres-aiops/audit.db, and destructive writes still capture their before-state and record an inverse where one exists.

Each tool declares a risk_level, carried into the audit row as a descriptive tier (none/confirm/review) — so a reviewer can see at a glance that a row was a high-risk delete. It is a label, not a gate.

Running a smaller / local model? See agent-guardrails.md — it lists the guardrails this tool now enforces for you (so you don't spend prompt budget restating them) and gives a ready-made system prompt for what's left.

Quick start

uv tool install postgres-aiops             # or: pipx install postgres-aiops
postgres-aiops init                        # wizard: add a target + store the password (encrypted)
postgres-aiops doctor                      # verify config, secrets, connectivity
postgres-aiops overview                    # one-shot cluster health snapshot
postgres-aiops analyze slow-query          # RCA the worst pg_stat_statements entry
postgres-aiops table bloat                 # dead-tuple bloat proxy per table

Run as an MCP server (stdio):

export POSTGRES_AIOPS_MASTER_PASSWORD=...  # unlock secrets non-interactively
postgres-aiops-mcp

Governance

Every MCP tool passes through the bundled @governed_tool harness:

• Audit — every call (params, result, status, duration, risk tier, and any operator-supplied approver/rationale) is logged to ~/.postgres-aiops/audit.db (relocatable via POSTGRES_AIOPS_HOME). The CLI writes the same row the MCP path does — there is no unaudited entry point.
• Runaway guard — a safety backstop, not an authorization gate: the same call hammered in a tight loop trips a circuit breaker. Disable with POSTGRES_RUNAWAY_MAX=0; optional hard ceilings via POSTGRES_MAX_TOOL_CALLS / POSTGRES_MAX_TOOL_SECONDS.
• Undo recording — reversible writes record an inverse descriptor built from the fetched before-state.
• Risk tier — a descriptive label on the audit row derived from risk_level; it gates nothing.

Scope

This is the PostgreSQL DBA-ops member of the AIops-tools family (governed AI-ops with audit + budget + undo + risk tiers). Do NOT use it for OT / industrial edge (Modbus, OPC-UA, PROFINET) — see the separate industrial-aiops line — nor for application-schema migrations or ORM management.

Missing a capability?

Coverage is intentionally a curated subset of PostgreSQL's catalogs and maintenance surface. Missing a view, a metric, or a maintenance command? Open an issue or PR — contributions welcome.

Status

The mock test suite is complemented by a live run: the catalog / pg_stat_* reads, the bloat_and_vacuum_analysis RCA, and the create_index / drop_index governed write path (audit + undo, with drop_index capturing pg_get_indexdef first) were exercised against a live PostgreSQL 16.14 instance running in Docker. docs/VERIFICATION.md records exactly what was and was not covered. postgres-aiops doctor is the fastest live check.