Supabase
MCP server for interacting with the Supabase platform
Beschreibung vom Entwickler (englisches Original)
Governed MySQL/MariaDB DBA ops: slow-query, lock-wait, replication & fragmentation RCA; 35 tools.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"mysql-aiops": {
"command": "uvx",
"args": [
"mysql-aiops"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add mysql-aiops -- uvx mysql-aiopsIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"mysql-aiops": {
"command": "uvx",
"args": [
"mysql-aiops"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"mysql-aiops": {
"type": "stdio",
"command": "uvx",
"args": [
"mysql-aiops"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto AIops-tools bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.13.0) kam vor 8 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Python (uv) auf deinem Computer.
In derselben Kategorie: Supabase, MongoDB MCP Server, Elasticsearch MCP Server
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
MCP server for interacting with the Supabase platform
MongoDB Model Context Protocol Server
MCP server for interacting with Elasticsearch
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
Audit availability: Real writes require a committed
pendingaudit 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 Oracle Corporation or the MariaDB Foundation. "MySQL" is a trademark of Oracle Corporation; "MariaDB" is a trademark of MariaDB plc; all product/trademark names belong to their respective owners. MIT licensed.
Governed AI-ops for MySQL 8.x and MariaDB 10.6+ DBA operations — connecting to a server with PyMySQL and reading information_schema / performance_schema — with a built-in governance harness: unified audit log, token/runaway budget guard, undo-token recording, and descriptive risk-tier labels. The server flavor (mysql vs mariadb) is detected from version() and flavor-dependent statements branch automatically (SHOW REPLICA STATUS vs SHOW SLAVE STATUS).
Four flagship signature analyses, plus the guarded reads and writes around them:
events_statements_summary_by_digest entry (plus an optional EXPLAIN FORMAT=JSON plan) and map its numbers — no-index share (SUM_NO_INDEX_USED), lock-time share, rows-examined/sent ratio, tmp-disk spill, call count, plan access types — to a cited cause and a concrete action. Every finding carries its measured number, not a black-box verdict.performance_schema.data_lock_waits (MariaDB: information_schema.innodb_lock_waits), name the root blocker (blocks others, waits on none), and parse the last deadlock out of SHOW ENGINE INNODB STATUS.Seconds_Behind_Source and error fields to a cited cause + action (stopped IO thread, failed applier statement, lagging applier, intentional SQL_Delay).data_free from information_schema.tables into cited OPTIMIZE TABLE candidates.mysql-aiops ...): init, overview, server, activity, query, index, table, repl, analyze, remediate, secret, doctor, mcp.mysql-aiops mcp or mysql-aiops-mcp): 35 tools (26 read, 9 write), every one wrapped with the bundled @governed_tool harness.~/.mysql-aiops/secrets.enc (Fernet + scrypt) — never plaintext on disk. Unlock with a master password from MYSQL_AIOPS_MASTER_PASSWORD (MCP/CI) or an interactive prompt (CLI).create_index↔drop_index; drop_index captures the index definition out of SHOW CREATE TABLE so undo recreates it exactly; set_global_variable captures the prior value from SHOW GLOBAL VARIABLES so undo sets it back. Irreversible ops (kill_session, kill_query, optimize_table, analyze_table, reset_query_stats) record prior state for audit but declare no undo.--dry-run and requires double confirmation; every write MCP tool takes a dry_run preview. All identifiers that cannot be parameterised (schema/table/index/column/variable names) are validated against a strict charset and backtick-quoted; all values are bound query parameters.It delivers MySQL / MariaDB 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: point it at a MySQL/MariaDB account granted only SELECT / PROCESS / REPLICATION CLIENT and no write privileges (no 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 ~/.mysql-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.
| Domain | Tools | Count | R/W |
|---|---|---|---|
| Overview | overview | 1 | read |
| Server | server_version, show_variables, show_status, list_databases, list_engines, connection_stats | 6 | read |
| Activity | list_sessions, long_running_queries, list_transactions, lock_waits | 4 | read |
| Queries | top_queries, explain_query | 2 | read |
| Indexes | unused_indexes, redundant_indexes, index_stats | 3 | read |
| Tables | table_sizes, table_fragmentation, table_status | 3 | read |
| Replication | replica_status, binlog_status | 2 | read |
| Analysis (flagship) | slow_query_rca, lock_wait_rca, replication_lag_rca, fragmentation_analysis | 4 | read |
| Writes | kill_session, kill_query, drop_index | 3 | write (high) |
optimize_table, analyze_table, create_index, set_global_variable, reset_query_stats | 5 | write (medium) | |
| Undo | undo_list, undo_apply | 2 | read / write |
The flagship analyses accept injected records for pure/offline analysis, or pull live from a configured target. top_queries/slow_query_rca require performance_schema=ON; the read account should have PROCESS, REPLICATION CLIENT and SELECT on performance_schema.
| Platform | Status |
|---|---|
| MySQL 8.0 / 8.4 | targeted (SHOW REPLICA STATUS, performance_schema.data_lock_waits) |
| MariaDB 10.6+ / 11.x | targeted (SHOW SLAVE STATUS, information_schema.innodb_lock_waits) |
| MySQL 5.7 and older | not targeted (EOL; pre-8.0 digest/lock views untested) |
| Cloud-managed MySQL (RDS/Aurora/Cloud SQL flavors) | wire-compatible reads should work; managed restrictions (KILL, SET GLOBAL) apply — untested |
One install gives an agent both the skill and the MCP server:
/plugin marketplace add AIops-tools/marketplace
/plugin install mysql-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 mysql-aiops init — see below.
The same bundle is published on ClawHub, where one install delivers the skill and its MCP server together:
openclaw plugins install clawhub:@zw008/mysql-aiops
openclaw skills info mysql-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.
uv tool install mysql-aiops # or: pipx install mysql-aiops
mysql-aiops init # wizard: add a target + store the password (encrypted) mysql-aiops doctor # verify config, secrets, connectivity, flavor, perf-schema mysql-aiops overview # one-shot server health snapshot mysql-aiops analyze slow-query # RCA the worst statement digest mysql-aiops analyze fragmentation # OPTIMIZE TABLE candidates
Run as an MCP server (stdio):
export MYSQL_AIOPS_MASTER_PASSWORD=... # unlock secrets non-interactively
mysql-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.
Claude Desktop / MCP client config:
{
"mcpServers": { "mysql-aiops": { "command": "uvx", "args": ["--from", "mysql-aiops", "mysql-aiops-mcp"], "env": { "MYSQL_AIOPS_MASTER_PASSWORD": "your-master-password" } } } }
Env-block caveat: the
envblock above is the only environment the MCP
server sees — GUI-launched clients do not inherit your shell profile. Put
MYSQL_AIOPS_MASTER_PASSWORD(andMYSQL_AIOPS_HOME/MYSQL_AUDIT_APPROVED_BY
if you use them) there, or the server cannot unlock the secret store.
Every MCP tool passes through the bundled @governed_tool harness:
~/.mysql-aiops/audit.db (relocatable via MYSQL_AIOPS_HOME). The CLI writes the same row the MCP path does — there is no unaudited entry point.MYSQL_RUNAWAY_MAX=0; optional hard ceilings via MYSQL_MAX_TOOL_CALLS / MYSQL_MAX_TOOL_SECONDS.risk_level; it gates nothing.This is the MySQL / MariaDB DBA-ops member of the AIops-tools family (governed AI-ops with audit + budget + undo + risk tiers). Do NOT use it for PostgreSQL — use postgres-aiops. Do NOT use it for OT / industrial edge — see the separate industrial-aiops line — nor for application-schema migrations or ORM management.
Coverage is intentionally a curated subset of MySQL's catalogs and maintenance surface. Missing a view, a metric, or a maintenance command? Open an issue or PR — contributions welcome. 缺功能提 issue/PR 欢迎留言。
Live-verified against MySQL 8.4.10 and MariaDB 11.8.8 (2026-07-19/20). Connectivity, the reads, analyze slow-query on genuine full scans, and the full governance loop (real create_index → audit row → undo actually dropping it) were exercised against a real server. That run found and fixed a real bug the mock suite could not see: SUM() aggregates come back as Decimal, which is not JSON serializable.
The MariaDB branch is now verified too, including analyze lock-waits against real row contention (it correctly identified the root blocker and the measured wait). Replication against a real replica remains unverified.
docs/VERIFICATION.md records exactly what was checked and what is still open. mysql-aiops doctor is the fastest live check (connectivity, flavor, performance_schema, replica role).