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Safely run PostgreSQL SQL with index tuning, explain plans, and health checks.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Postgres MCP Pro" yet — see the docs or source repo.
Generate an explain plan for this PostgreSQL query and identify likely performance bottlenecks: SELECT * FROM orders WHERE customer_id = 123 AND created_at >= NOW() - INTERVAL '30 days';
A summarized execution plan highlighting issues such as sequential scans, inefficient filters, or missing indexes.
Provide PostgreSQL index tuning suggestions for this query and explain why: SELECT status, COUNT(*) FROM payments WHERE paid_at >= CURRENT_DATE - INTERVAL '90 days' GROUP BY status;
Actionable index recommendations with explanations of how they may improve filtering, grouping, or scan cost.
Run a health check on the current PostgreSQL instance and summarize the items that need attention.
A health check overview listing anomalies or risks, plus suggested areas to investigate.
Developers or data analysts can use it to inspect execution plans and locate bottlenecks when queries slow down. It also helps narrow optimization work with index tuning suggestions.
Ops or DevOps teams can use it to check PostgreSQL instance health and spot potential risks. It fits routine inspections or quick validation after changes.
When direct PostgreSQL access is needed, this tool supports safer SQL execution. It is useful in automation workflows or AI-assisted database operations to reduce operational risk.
It is an MCP server for PostgreSQL that supports index tuning, explain plan analysis, health checks, and safe SQL execution. It is suited for database performance analysis and routine operations.
Based on the name and description, it is designed for PostgreSQL. For supported versions, connection methods, or configuration details, see the source repository.
The provided information does not include installation steps. For deployment, runtime requirements, and client configuration, see the source repository.
Run PostgreSQL queries, inspect metadata, and diagnose performance via natural language.
Inspect PostgreSQL schemas and run read-only SQL queries through MCP tools.
Connect AI assistants to PostgreSQL for secure querying, management, and analysis.
Safely manage PostgreSQL databases with schema exploration, procedure analysis, and test data generation.
Safely query and inspect PostgreSQL databases without enabling risky write operations by default.
Safely query read-only PostgreSQL data and inspect schemas, tables, and columns.