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Inspect database schemas, index issues, table bloat, and query plans.
This tool is described as an open-source MIT-licensed MCP database analysis server with no declared secrets or fixed remote endpoints, and no obvious high-risk red flags are evident. The main considerations are local code execution and deep database visibility, while community adoption and maintenance signals are limited.
The materials explicitly state that no keys or environment variables are required, and there is no indication of API tokens or third-party service credentials; credential exposure risk appears low. If it connects to protected databases in practice, a least-privilege database account should still be used.
No fixed remote endpoints are declared, and the materials do not show data being sent to unrelated third-party services. Its function may require connecting to the target database, but that is expected communication with the analyzed system rather than evident extra data exfiltration.
The system checks mark this tool as executes-code, meaning it runs local server/code to perform database inspection. This is normal for this class of tool, but it still means it should run in a controlled environment with limited host privileges.
The description says it inspects schemas, index issues, table bloat, and query plans, providing 'deep visibility' into PostgreSQL/MySQL/SQLite, so it likely has broad read access within connected databases. The materials do not show system file writes or privileges beyond database analysis, but it should be assumed to access substantial metadata and query-related information.
Positive factors include being open source, auditable, and MIT-licensed, with a GitHub repository provided via a third-party registry. Caution is still warranted because community adoption is 0 stars, maintenance status is unknown, and the README is absent, so public trust and maintenance evidence are limited; review the source and dependencies before using it in sensitive environments.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-db-analyzer" yet — see the docs or source repo.
Analyze the index health of this PostgreSQL database. Identify missing indexes, inefficient indexes, and issues that may hurt query performance, then prioritize recommendations.
A prioritized list of index issues, their impact, and optimization recommendations.
Check which tables in the database show significant bloat, explain the severity and likely causes, and suggest suitable cleanup or maintenance actions.
A list of bloated tables, cause analysis, and actionable maintenance suggestions.
Analyze the execution plan of this slow SQL query. Point out bottlenecks, possible full table scans, or poor join order, and provide optimization suggestions.
An explanation of the query plan, identified bottlenecks, and targeted SQL or index optimization advice.
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