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Postgres MCP Pro

Connector Data & Analytics Solid
Works inClaude Code Claude Cowork Claude Chat
Solid Scanned — metadata only

Reduces database performance bottlenecks and operational risk by enabling Claude agents to analyze query execution plans, optimize indexes, and perform healt…

Advanced Postgres MCP server with index tuning, EXPLAIN analysis, health checks, and configurable read/write access for Claude agents.

3,116 starsMIT (commercial OK)Free

Reduces database performance bottlenecks and operational risk by enabling Claude agents to analyze query execution plans, optimize indexes, and perform health audits without manual DBA intervention.

Database teams and platform engineers maintaining Postgres infrastructure who need automated performance diagnostics and optimization recommendations.

Claude Code Claude Cowork Claude Chat

https://github.com/crystaldba/postgres-mcp

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.
First thing to try

Once it’s connected, paste this into Claude:

Analyze a slow query's EXPLAIN output and suggest index improvements

Trust Signals Auto-scanned

Stars3,116Contributors10Last updated2026-01-22LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-25 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 3,116 GitHub stars; 10 contributors; last commit 184d ago; license MIT.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
4/5
Versatility
5/5
Reliability
3/5
Security
3/5
Overall score3.85 / 5.00 SolidEvaluatedJul 2026
Scored from trust signals (evidence-eval-v1): 3,116 GitHub stars; 10 contributors; last commit 184d ago; license MIT.

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