MySQL AIops

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, policy engine, token/runaway budget guard, undo-token recording, and graduated-autonomy risk tiers. The server flavor (mysql vs mariadb) is detected from version() and flavor-dependent statements branch automatically (SHOW REPLICA STATUS vs SHOW SLAVE STATUS).

What it does

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

• Slow-query RCA — take the worst 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.
• InnoDB lock-wait & deadlock chain RCA — build the wait-for tree from 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.
• Replication lag RCA — map the replica's IO/SQL thread state, Seconds_Behind_Source and error fields to a cited cause + action (stopped IO thread, failed applier statement, lagging applier, intentional SQL_Delay).
• Table fragmentation analysis — rank tables by reclaimable data_free from information_schema.tables into cited OPTIMIZE TABLE candidates.

What works

• CLI (mysql-aiops ...): init, overview, server, activity, query, index, table, repl, analyze, remediate, secret, doctor, mcp.
• MCP server (mysql-aiops mcp or mysql-aiops-mcp): 35 tools (26 read, 9 write), every one wrapped with the bundled @governed_tool harness.
• Encrypted credentials: the account password lives in an encrypted store ~/.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).
• Reversibility: mutating writes fetch the real before-state first and record a faithful inverse — 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.
• 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 (schema/table/index/column/variable names) are validated against a strict charset and backtick-quoted; all values are bound query parameters.

Security: read-only mode

This tool is meant to be handed to an AI agent, so its safety story is enforced by the server rather than requested in a prompt:

export MYSQL_READ_ONLY=1

With that set, the 9 write tools are never registered. An MCP client lists 26 tools instead of 35 — the writes are not hidden, not gated behind a flag, and not merely refused when called. They are absent from the session. A model cannot invoke a tool it was never offered, and cannot be argued into one.

That distinction is the whole point. A tool that exists but refuses still invites retry loops and "I'll describe the call instead" behaviour from smaller models, and it leaves a reviewer trusting a promise. An absent tool is a fact you can check: connect, list the tools, and see that the writes are not there.

Enforcement is two layers deep, so the switch cannot be sidestepped by changing entry point:

Read operations are unaffected, and every call is still audited to ~/.mysql-aiops/audit.db.

The read/write split is derived from each tool's declared risk_level, and a test asserts that this never disagrees with the [READ]/[WRITE] tag in the tool's own documentation — so a write can't quietly present itself as a read.

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.

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 performance_schema=ON; the read account should have PROCESS, REPLICATION CLIENT and SELECT on performance_schema.

Support scope

Quick start

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

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 env block above is the only environment the MCP server sees — GUI-launched clients do not inherit your shell profile. Put MYSQL_AIOPS_MASTER_PASSWORD (and MYSQL_AIOPS_HOME / MYSQL_AUDIT_APPROVED_BY if you use them) there, or the server cannot unlock the secret store.

Governance

Every MCP tool passes through the bundled @governed_tool harness:

• Audit — every call (params, result, status, duration, risk tier, approver, rationale) is logged to ~/.mysql-aiops/audit.db (relocatable via MYSQL_AIOPS_HOME).
• Budget / runaway guard — token and call budgets trip a circuit breaker (MYSQL_MAX_TOOL_CALLS, MYSQL_MAX_TOOL_SECONDS, MYSQL_RUNAWAY_MAX).
• Risk tiers — graduated autonomy, secure by default: with no rules.yaml, high-risk writes require a named approver (MYSQL_AUDIT_APPROVED_BY / MYSQL_AUDIT_RATIONALE); mysql-aiops init seeds an explicit starter rules.yaml with that dual-control tier.
• Undo recording — reversible writes record an inverse descriptor built from the fetched before-state, replayable through the tool it names.

Scope

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.

Missing a capability?

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。

Verification status

Mock-validated; not yet exercised against a live server. Every module imports, every MCP tool carries the governance marker, the four flagship analyses are unit-tested against synthetic records, and reversible writes are asserted to record the correct inverse undo descriptor — but the catalog queries are modelled from the documented information_schema / performance_schema shapes for MySQL 8.x and MariaDB 10.6+ and have not been run against a real server.

docs/VERIFICATION.md is the checklist a live run must satisfy. mysql-aiops doctor is the fastest live check (connectivity, flavor, performance_schema, replica role). MySQL and MariaDB are both free and trivially containerised, so a local run is cheap.