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Record · pg-aiguideMCP serverCosts not checkedRecord checked Sep 23, 2026

pg-aiguide

Version-aware PostgreSQL manual search and best-practice skills that help AI tools write better Postgres code.

Visit pg-aiguide →View repository

Sources and review

Checked against public documentation on . Suitability guidance is our editorial judgment; this is not a performance benchmark or an endorsement.

Best for

Schema design and query writing where agents tend to skip constraints and indexes or use outdated features.

About pg-aiguide

pg-aiguide, from Timescale (TigerData), helps AI coding tools write better PostgreSQL. It offers semantic search across the official PostgreSQL manual by version, curated best-practice skills that agents apply automatically, and documentation for extensions starting with TimescaleDB. It ships as a public MCP server, as agent skills and as a Claude Code plugin.

pg-aiguide is listed in this index written primarily in Python, with 1.9k stars on GitHub. Its latest recorded repository push was in October 2026; that is not an ASE editorial review date.

Before connecting: access and data

This record's specific permissions have not been reviewed by ASE. Read the publisher's documentation before copying setup or connecting.

  • List the accounts, files and services the enabled tools can read, change or execute. Check your actual credentials and discovered tools.
  • Use narrowly scoped credentials and read-only mode where supported. Review proposed writes before approving them; a generated configuration does not apply these limits for you.
  • Local launch is not local-only data processing. External services receive requests, and your client may pass tool results to its model provider. Check both destinations before sharing private data.
  • Keep keys and browser session files out of shared config, repositories and screenshots. Know how to disconnect the server and separately revoke its credentials or account sessions.

Read the setup guide →

Add pg-aiguide to your MCP client

A hosted server: point your client at its URL and complete its sign-in there. In Claude Desktop or claude.ai, add it under Settings → Connectors → Add custom connector instead.

Claude CodeRun in your terminal
claude mcp add --transport http pg-aiguide https://mcp.tigerdata.com/docs
Cursor~/.cursor/mcp.json or .cursor/mcp.json
{
  "mcpServers": {
    "pg-aiguide": {
      "url": "https://mcp.tigerdata.com/docs"
    }
  }
}
VS Code.vscode/mcp.json
{
  "servers": {
    "pg-aiguide": {
      "type": "http",
      "url": "https://mcp.tigerdata.com/docs"
    }
  }
}
CodexRun in your terminal
codex mcp add pg-aiguide --url https://mcp.tigerdata.com/docs

Check the project's README for required accounts, keys and permissions before connecting. Setup guide for each client →

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