PG Bloat Detective
Read-only Postgres bloat verdicts: blockers, timelines, REINDEX proof.
Installation
Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).
pg-bloat-detectiveclaude mcp add pg-bloat-detective -e 'BLOAT_DSN=dbname=bloatdemo user=postgres host=localhost port=5433' -e 'BLOAT_DB=timeline.db' -- uvx pg-bloat-detective==0.1.6
{
"mcpServers": {
"pg-bloat-detective": {
"command": "uvx",
"args": [
"pg-bloat-detective==0.1.6"
],
"env": {
"BLOAT_DSN": "dbname=bloatdemo user=postgres host=localhost port=5433",
"BLOAT_DB": "timeline.db"
}
}
}
}
Variables d'environnement
BLOAT_DSNPostgres DSN (read-only enforced: 5s statement timeout, read-only tx)BLOAT_DBSQLite timeline file written by bloatdetective collect
Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
Sommaire
- pg-bloat-detective — PostgreSQL Bloat Checker, Vacuum Blocker Finder & Index Bloat Detector
- What this is
- Quickstart (60-second demo)
- Verdicts (read them as instructions)
- Benchmark (measured 2026-10-05, local PG16 — heap + index, live run just now)
- MCP server (Claude Desktop / Cursor / any MCP client)
- Interfaces
- FAQ (how people actually search for this)
- Keywords
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
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:
- Is this table bloated, and why? — dead-tuple timeline (
pg_stat_user_tables) + exactpgstattuple_approxconfirmation. Verdicts:normal(leave it alone),vacuum-starved(autovacuum losing),blocked-by-idle-xact|slot|prepared|active-xact(named PID + query holdingbackend_xmin),needs-rewrite(approx dead% >30%, VACUUM can't reclaim). - Who is blocking VACUUM / autovacuum? — oldest
backend_xminholder 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. - Is the index bloated? (VACUUM never fixes this) — exact
pgstatindexon indexes under a 1GB cost guard (tunable--max-bytes, override--allow-large), metric100 − avg_leaf_density. Over 30% →index-bloated, scheduleREINDEX. 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:
| moment | pg_stat dead | approx dead% | index bloat% (density) | verdict |
|---|---|---|---|---|
| before fix | 5,108,201 | — (single-snapshot lag) | 41.9% | vacuum-starved + index-bloated churn_pkey |
| after fix | 0 | 0.0% | 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"}}}}
| tool | what the agent gets |
|---|---|
bloat_check | verdicts + evidence + action per table/index |
bloat_collect | snapshot timeline, return fresh verdicts |
bloat_timeline | dead/approx/index-bloat series — when it started |
bloat_blockers | pid + query + xmin age + slot — who to kill |
bloat_live_diagnose | one-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 --jsonfeedsdata.json): verdict banner, dead-tuple + index-bloat charts, blockers + findings tables. - Prometheus + Grafana —
serveexposes: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.ymlwires pg → exporter → Prometheus → Grafana. - Docker —
Dockerfileruns 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" →
collecttwice,analyzeprints the verdict + dead/live + evidence.needs-rewritemeans pg_repack/VACUUM FULL; anything else tells you the cheaper fix first. - "postgres autovacuum not keeping up / dead tuples growing" →
vacuum-starved(threshold50 + 0.2×livefrom your livepg_settings) vsblocked-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), thenVACUUM table. - "postgres index bloat check / reindex needed" →
index-bloatedwith exactpgstatindex% — VACUUM cannot fix it, only REINDEX/pg_repack. Stalepg_statcounters are cross-checked againstpgstattuple_approxso 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 + optionalpgstattupleextension. 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
Questions fréquentes
Qu'est-ce que PG Bloat Detective ?
Read-only Postgres bloat verdicts: blockers, timelines, REINDEX proof.
Comment installer PG Bloat Detective ?
Il s'exécute sur votre machine. Dans Claude Code : claude mcp add pg-bloat-detective -e 'BLOAT_DSN=dbname=bloatdemo user=postgres host=localhost port=5433' -e 'BLOAT_DB=timeline.db' -- uvx pg-bloat-detective==0.1.6. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.
Faut-il une clé API pour PG Bloat Detective ?
Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.
PG Bloat Detective est-il open source ?
Oui. Son code est sur GitHub sous licence MIT.
Qui maintient PG Bloat Detective ?
Il est publié par r69shabh. AI.tn le référence sans le maintenir ni le recommander.
Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.