pg-aiguide MCP Server
timescale/pg-aiguide
[](https://agentrank-ai.com/tool/timescale--pg-aiguide/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) MCP server and Claude plugin for Postgres skills and documentation. Helps AI coding tools generate better PostgreSQL code.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
timescale/pg-aiguide is a Python MCP server licensed under Apache-2.0. MCP server and Claude plugin for Postgres skills and documentation. Helps AI coding tools generate better PostgreSQL code. Topics: ai, ai-agents, ai-coding, claude-marketplace, claude-plugin, claude-skills, docs, documentation, mcp, mcp-server, postgres, postgresql, skills, claude-code-plugin, claude-code-plugins, claude-code-plugins-marketplace.
Ranked #3588 out of 24846 indexed tools.
Has 1,865 GitHub stars.
Has 16 contributors.
Ecosystem
Score Breakdown
1,865 stars → well-known project
Last commit 21d ago → recently updated
13/23 issues closed → decent issue management
16 contributors → active community
5 dependents → few downstream users
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
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From the README
# pg-aiguide **AI-optimized PostgreSQL expertise for coding assistants** pg-aiguide helps AI coding tools write dramatically better PostgreSQL code. It provides: - **Semantic search** across the official PostgreSQL manual (version-aware) - **AI-optimized “skills”** — curated, opinionated Postgres best practices used automatically by AI agents - **Extension ecosystem docs**, starting with TimescaleDB, with more coming soon Use it as: - **Agent Skills** via `npx skills` — works with Claude Code, Cursor, Codex, Gemini CLI, and 40+ other agents - a **public MCP server** that can be used with any AI coding agent, or - a **Claude Code plugin** optimized for use with Claude's native skill support. ## ⭐ Why pg-aiguide? AI coding tools often generate Postgres code that is: - outdated - missing constraints and indexes - unaware of modern PG features - inconsistent with real-world best practices pg-aiguide fixes that by giving AI agents deep, versioned PostgreSQL knowledge and proven patRead full README on GitHub →
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