The diagnostic SQL is adapted from awslabs/amazon-redshift-utils, which is why the health and workload tools ask useful questions rather than generic ones — stats staleness and skew are the things that actually explain a slow table. Scope the Redshift user in the secret to what you want reachable; the ad-hoc query tool will run whatever that user can run.
An MCP server for Amazon Redshift that connects through the AWS Redshift Data API rather than a database driver, so there is no password in your config — the credentials live in a Secrets Manager secret and the server holds only its ARN. Its focus is operational: most of the tools answer why the warehouse is slow, not just what is in it.
- `handle_check_cluster_health` — a basic or full assessment across a set of diagnostic queries, with optional `level` and `time_window_days`
- `handle_diagnose_locks` — current lock contention and which session is blocking which, filtered by `min_wait_seconds`
- `handle_diagnose_query_performance` — for one `query_id`, the execution plan, its metrics and its history
- `handle_monitor_workload` — workload patterns over a window, covering WLM, top queries and resource usage
- `handle_inspect_table` — one table's design, storage, health and usage, including size, row counts, skew and how stale its statistics are
- `handle_get_table_definition` — the `SHOW TABLE` DDL for a table
- `handle_execute_ad_hoc_query` — an escape hatch for a SELECT the other tools do not cover
- Resources for browsing without a tool call: `redshift://schemas`, `redshift://schema/{schema_name}/tables`, `redshift://wlm/configuration`, and `/scripts/{script_path}` for the raw diagnostic SQL
An AWS account whose credentials can call the Redshift Data API and read your secret — `redshift-data:*` and `secretsmanager:GetSecretValue`. Four environment variables: `REDSHIFT_CLUSTER_ID`, `REDSHIFT_DATABASE`, `REDSHIFT_SECRET_ARN` and `AWS_REGION`, with `AWS_PROFILE` optional if you are not on default credentials. The Redshift user behind that secret needs `SELECT` on the tables you care about and on the system views the diagnostics read, including `svv_table_info`. Python 3.10+; run it with `uvx redshift-utils-mcp`. Package `redshift-utils-mcp`, MIT.
One command plus a key — pip install redshift-utils-mcp, then supply credentials
