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PG Bloat Detective

PG Bloat Detective

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github.comDatabases0Updated 2w ago

About PG Bloat Detective

PG Bloat Detective is a read-only PostgreSQL analysis tool for DBAs. It combines table and index verdicts with blocker evidence and timelines, and provides CLI, dashboards, and monitoring exports.

Key features

  1. 01Table bloat verdicts with evidence
  2. 02VACUUM blocker identification
  3. 03Index bloat and unused-index checks
  4. 04SQLite-backed snapshot timelines
  5. 05HTML reports and dashboards
  6. 06Prometheus and Grafana metrics

Use cases

  1. 01Find sessions preventing VACUUM
  2. 02Decide when tables need rewriting
  3. 03Identify indexes that may need REINDEX
  4. 04Track bloat changes across snapshots

MCP support

Its MCP server exposes five read-only tools for checking bloat, collecting snapshots, viewing timelines and blockers, and diagnosing a database in a one-shot snapshot.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"r69shabh-pg-bloat-detective": {
"command": "uvx",
"args": [
"pg-bloat-detective"
],
"env": {
"BLOAT_DSN": "<BLOAT_DSN>",
"BLOAT_DB": "<BLOAT_DB>"
}
}
}
}
Run commanduvx pg-bloat-detective
Environment variables to set
BLOAT_DSNPostgres DSN (read-only enforced: 5s statement timeout, read-only tx)
BLOAT_DBSQLite timeline file written by bloatdetective collect

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypipg-bloat-detective0.1.6

Tools

5

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
dbstringNo

Details

From the project README

pg-bloat-detective — PostgreSQL Bloat Checker, Vacuum Blocker Finder & Index Bloat Detector

Find why your Postgres database is bloated, who is blocking VACUUM, and which indexes need REINDEX — read-only, with proof. vacuum-starved · blocked-by-idle-xact · needs-rewrite · index-bloated · index-unused — one verdict per table/index, with PID + query evidence.

mcp-name: io.github.r69shabh/pg-bloat-detective

PyPI MCP Registry License: MIT Tests

pip install pg-bloat-detective · Docker ready · MCP server for Claude/Cursor · Prometheus + Grafana · Next.js dashboard

pip install pg-bloat-detective          # or: pip install -e ".[dev]" from source
python -m bloatdetective collect --db timeline.db   # read-only snapshot (5s timeout)
python -m bloatdetective analyze --db timeline.db   # verdicts + evidence
python -m bloatdetective report --db timeline.db --html --out report.html
bloat-mcp                              # MCP server (stdio) for Claude Desktop / Cursor

What this is

A PostgreSQL bloat analysis tool that answers three questions other tools leave open:

  1. Is this table bloated, and why? — dead-tuple timeline (pg_stat_user_tables) + exact pgstattuple_approx confirmation. Verdicts: normal (leave it alone), vacuum-starved (autovacuum losing), blocked-by-idle-xact|slot|prepared|active-xact (named PID + query holding backend_xmin), needs-rewrite (approx dead% >30%, VACUUM can't reclaim).

  2. Who is blocking VACUUM / autovacuum? — oldest backend_xmin holder tracked per snapshot: PID, transaction age, query text, stale replication slots, prepared transactions. Priority: prepared-xact > stale-slot > idle-in-transaction. Kill one, VACUUM, done.

  3. Is the index bloated? (VACUUM never fixes this) — exact pgstatindex on indexes under a 1GB cost guard (tunable --max-bytes, override --allow-large), metric 100 − avg_leaf_density. Over 30% → index-bloated, schedule REINDEX. Zero scans across all snapshots → index-unused, DROP candidate. This is the gap pganalyze admits to — our differentiator, proven live: 83.7% → 9.9% after REINDEX while VACUUM did nothing.

One SQLite file = full timeline. One static page = the whole incident. No agents on prod, no writes (read-only transactions, statement timeout 5s), works on RDS / Neon / Supabase / self-hosted PG 12–17.

Quickstart (60-second demo)

docker compose up -d
pip install -e ".[dev]"
python -m bloatdetective collect --db timeline.db   # snapshot prod (read-only)
python workload/churn.py --mode idle-xact --secs 60 &  # create the failure
python -m bloatdetective collect --db timeline.db
python -m bloatdetective report --db timeline.db --html --out report.html
python -m bloatdetective serve --db timeline.db &   # :9187/metrics for Prometheus
pytest
bash scripts/benchmark.sh   # full before/after proof -> REPORT.md

Verdicts (read them as instructions)

Heap: normal (steady-state, leave alone) · vacuum-starved → run VACUUM / tune autovacuum · blocked-by-idle-xact|slot|prepared|active-xact → end the named session, then VACUUM · needs-rewrite → pg_repack / VACUUM FULL. Index: index-bloated (pgstatindex bloat >30% → needs REINDEX, VACUUM can't fix it) · index-unused (idx_scan=0 across snapshots → DROP candidate, verify with pg_stat_statements first).

Index bloat is the differentiator (pganalyze admits the gap): collect runs exact pgstatindex only on indexes under the 1GB cost guard (--max-bytes tunes it, --allow-large overrides), metric = 100 − avg_leaf_density. Exported as pgbloat_index_bloat_pct / pgbloat_index_scans, charted in the shadcn dashboard, Graphed in Grafana.

Benchmark (measured 2026-10-05, local PG16 — heap + index, live run just now)

30s churn, no blocker (autovacuum simply lost) → VACUUM ANALYZE + REINDEX:

momentpg_stat deadapprox dead%index bloat% (density)verdict
before fix5,108,201— (single-snapshot lag)41.9%vacuum-starved + index-bloated churn_pkey
after fix00.0%9.9%normal — steady state, leave alone

Earlier hole, now closed: an index at 83.7% bloat (density 16.3) dropped to 9.9% (density 90.1) after REINDEX — VACUUM alone never touches that. Full log in REPORT.md, visual in report.html.

See PLAN.md for the detailed 3-week plan + competitor gap.

MCP server (Claude Desktop / Cursor / any MCP client)

5 tools, read-only on Postgres (5s statement timeout, read-only tx). bloat_check returns verdict + evidence + fix per table/index; bloat_live_diagnose snapshots a throwaway DB so your timeline file is never touched — safest for prod DSNs.

pip install pg-bloat-detective   # pulls mcp + psycopg
bloat-mcp                        # stdio transport (also: docker run -i pg-bloat-detective)

Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json):

{"mcpServers": {"bloat-detective": {
  "command": "/abs/path/pg-bloat-detective/.venv/bin/python",
  "args": ["-m", "bloatdetective.mcp_server"],
  "env": {"BLOAT_DSN": "dbname=bloatdemo user=postgres host=localhost port=5433",
          "BLOAT_DB": "/abs/path/pg-bloat-detective/timeline.db"}}}}
toolwhat the agent gets
bloat_checkverdicts + evidence + action per table/index
bloat_collectsnapshot timeline, return fresh verdicts
bloat_timelinedead/approx/index-bloat series — when it started
bloat_blockerspid + query + xmin age + slot — who to kill
bloat_live_diagnoseone-shot throwaway snapshot, diagnose, discard

Public listing: official MCP Registry (io.github.r69shabh/pg-bloat-detective) · mcp.so · awesome-mcp-servers (Databases).

Interfaces

  • CLI — collect | analyze | report [--html|--json] | serve [--port] (this README's quickstart).
  • Dashboard — Next.js single-incident card at dashboard/ (report --json feeds data.json): verdict banner, dead-tuple + index-bloat charts, blockers + findings tables.
  • Prometheus + Grafana — serve exposes :9187/metrics (pgbloat_dead_tuples, pgbloat_approx_dead_pct, pgbloat_index_bloat_pct, pgbloat_index_scans, pgbloat_xmin_holder_age_seconds); grafana/ has dashboard JSON + provisioning, docker-compose.yml wires pg → exporter → Prometheus → Grafana.
  • Docker — Dockerfile runs the MCP server over stdio (docker run -i); compose adds the demo DB + observability stack.

FAQ (how people actually search for this)

  • "postgres table bloated how to check" → collect twice, analyze prints the verdict + dead/live + evidence. needs-rewrite means pg_repack/VACUUM FULL; anything else tells you the cheaper fix first.
  • "postgres autovacuum not keeping up / dead tuples growing" → vacuum-starved (threshold 50 + 0.2×live from your live pg_settings) vs blocked-by-* (a session pinning xmin). The timeline chart shows whether dead is rising (losing) or spiked-then-zero (blocked-then-freed).
  • "postgres vacuum blocked by idle in transaction" → we name the PID, query, and xmin age. SELECT pg_terminate_backend(pid) (or let it finish), then VACUUM table.
  • "postgres index bloat check / reindex needed" → index-bloated with exact pgstatindex % — VACUUM cannot fix it, only REINDEX/pg_repack. Stale pg_stat counters are cross-checked against pgstattuple_approx so you don't chase ghosts.
  • "postgres unused indexes find / drop" → index-unused (idx_scan=0 across every snapshot) with size in bytes. Confirm with pg_stat_statements, then DROP.
  • "rds / neon / supabase bloat" → read-only by design; needs only pg_stat_* views + optional pgstattuple extension. No superuser, no agent install.
  • "pg_bloat_check vs pgstattuple vs pganalyze vs pghero" → one-shot estimators give you a %; we give you the timeline + the blocker + the fix + the before/after proof, heap and index, in one open-source tool. See PLAN.md competitor table.

Keywords

postgresql bloat · postgres bloat check · pg_bloat_check alternative · vacuum blocked · autovacuum tuning · dead tuples · pgstattuple_approx · index bloat · pgstatindex · reindex needed · unused indexes · idle in transaction · backend_xmin · replication slot lag · prepared transaction · table bloat estimation · postgres dba tools · postgres monitoring prometheus grafana · MCP server postgres · Claude postgres DBA

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