Postgres AIops

Name: Postgres AIops
Author: AIops-tools

by AIops-toolsversion 0.13.0i★ –iRuns on your computer

Registry nameio.github.AIops-tools/postgres-aiops

Install

Overview

Description from the maker (original English)

Governed PostgreSQL DBA ops: slow-query RCA, bloat/vacuum & blocking-lock analysis; 35 MCP tools.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Databases & datasets

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "postgres-aiops": {
      "command": "uvx",
      "args": [
        "postgres-aiops"
      ]
    }
  }
}

Run this in your terminal

claude mcp add postgres-aiops -- uvx postgres-aiops

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "postgres-aiops": {
      "command": "uvx",
      "args": [
        "postgres-aiops"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "postgres-aiops": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "postgres-aiops"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account AIops-tools, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Databases & datasetsi

More stars than 0% of the other 953 servers in this category
Published to the registry more recently than 84% of the other 953 servers in this category
Basic checks equal to or better than 100% of the other 953 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Postgres AIops safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.13.0) reached the registry 7 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Supabase, MongoDB MCP Server, Elasticsearch MCP Server

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Postgres AIops

Audit availability: Real writes require a committed pending audit row and stop before contacting the platform if storage is unavailable. Reads and previews may continue with a warning; new audit rows store outcome summaries rather than full responses.

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)

Domain	Tools	Count	R/W
Overview	`overview`	1	read
Server	`server_version`, `show_settings`, `list_extensions`, `list_databases`, `list_roles`	5	read
Activity	`list_activity`, `long_running_queries`, `list_locks`	3	read
Queries	`top_queries`, `explain_query`	2	read
Indexes	`unused_indexes`, `missing_index_hints`, `index_bloat`, `invalid_indexes`	4	read
Tables	`table_sizes`, `table_bloat`, `autovacuum_status`	3	read
Replication	`replication_status`, `replication_slots`, `wal_status`	3	read
Analysis (flagship)	`slow_query_rca`, `bloat_and_vacuum_analysis`, `blocking_lock_chain_rca`	3	read
Writes	`terminate_backend`, `cancel_query`, `drop_index`	3	write (high)
	`run_vacuum`, `run_analyze`, `create_index`, `reindex`, `update_setting`, `reset_query_stats`	6	write (medium)
Undo	`undo_list`	1	read
	`undo_apply`	1	write (medium)

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

As a Claude Code plugin

One install gives an agent both the skill and the MCP server:

/plugin marketplace add AIops-tools/marketplace

/plugin install postgres-aiops@aiops-tools

The MCP server is fetched with uv and pinned to the package version this plugin declares, so an audit row can be traced back to the code that wrote it. Credentials are still configured with postgres-aiops init — see below.

As an OpenClaw plugin

The same bundle is published on ClawHub, where one install delivers the skill and its MCP server together:

openclaw plugins install clawhub:@zw008/postgres-aiops

openclaw skills info postgres-aiops # expect: Visible to model: yes

Restart the OpenClaw gateway afterwards so it loads the plugin. The MCP server is fetched with uv, pinned to this exact release, so uvx has to be on PATH — without it the skill still installs but reports Visible to model: no. Credentials are configured exactly as below.

As a CLI or standalone MCP server

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

Where that password then lives: an exported variable is readable by

every process this shell starts and is recorded by shell history. On a

shared or long-lived host, prefer the interactive prompt, or inject it from

a secret manager for the life of the one command that needs it.

Governance

Every MCP tool passes through the bundled @governed_tool harness:

Audit — every call (params, outcome summary, 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.

Postgres AIops

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Databases & datasetsi

Common questions

Alternatives

Supabase

MongoDB MCP Server

Elasticsearch MCP Server

README from the maker

Postgres AIops

What it does

What works

Capability matrix (35 MCP tools)

What this tool does, and does not, decide

Quick start

As a Claude Code plugin

As an OpenClaw plugin

As a CLI or standalone MCP server

Governance

Scope

Missing a capability?

Status